import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn import svm
from sklearn.metrics import accuracy_score
import pandas as pd
# Loading the dataset from csv file to pandas dataframe
df = pd.read_csv("C://Users//krath//OneDrive//Documents//Cluster2023//Artificial Intelligence Algorith//pd_speech_features.csv")
df.head(4)
| Unnamed: 0 | Unnamed: 1 | Baseline Features | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Intensity Parameters | Unnamed: 24 | Unnamed: 25 | Formant Frequencies | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Bandwidth Parameters | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Vocal Fold | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41 | Unnamed: 42 | Unnamed: 43 | Unnamed: 44 | Unnamed: 45 | Unnamed: 46 | Unnamed: 47 | Unnamed: 48 | Unnamed: 49 | Unnamed: 50 | Unnamed: 51 | Unnamed: 52 | Unnamed: 53 | Unnamed: 54 | Unnamed: 55 | MFCC | Unnamed: 57 | Unnamed: 58 | Unnamed: 59 | Unnamed: 60 | Unnamed: 61 | Unnamed: 62 | Unnamed: 63 | Unnamed: 64 | Unnamed: 65 | Unnamed: 66 | Unnamed: 67 | Unnamed: 68 | Unnamed: 69 | 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| 0 | id | gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | det_LT_entropy_shannon_9_coef | det_LT_entropy_shannon_10_coef | det_LT_entropy_log_1_coef | det_LT_entropy_log_2_coef | det_LT_entropy_log_3_coef | det_LT_entropy_log_4_coef | det_LT_entropy_log_5_coef | det_LT_entropy_log_6_coef | det_LT_entropy_log_7_coef | det_LT_entropy_log_8_coef | det_LT_entropy_log_9_coef | det_LT_entropy_log_10_coef | det_LT_TKEO_mean_1_coef | det_LT_TKEO_mean_2_coef | det_LT_TKEO_mean_3_coef | det_LT_TKEO_mean_4_coef | det_LT_TKEO_mean_5_coef | det_LT_TKEO_mean_6_coef | det_LT_TKEO_mean_7_coef | det_LT_TKEO_mean_8_coef | det_LT_TKEO_mean_9_coef | det_LT_TKEO_mean_10_coef | det_LT_TKEO_std_1_coef | det_LT_TKEO_std_2_coef | det_LT_TKEO_std_3_coef | det_LT_TKEO_std_4_coef | det_LT_TKEO_std_5_coef | det_LT_TKEO_std_6_coef | det_LT_TKEO_std_7_coef | det_LT_TKEO_std_8_coef | det_LT_TKEO_std_9_coef | det_LT_TKEO_std_10_coef | app_LT_entropy_shannon_1_coef | app_LT_entropy_shannon_2_coef | app_LT_entropy_shannon_3_coef | app_LT_entropy_shannon_4_coef | app_LT_entropy_shannon_5_coef | app_LT_entropy_shannon_6_coef | app_LT_entropy_shannon_7_coef | app_LT_entropy_shannon_8_coef | app_LT_entropy_shannon_9_coef | app_LT_entropy_shannon_10_coef | app_LT_entropy_log_1_coef | app_LT_entropy_log_2_coef | app_LT_entropy_log_3_coef | app_LT_entropy_log_4_coef | app_LT_entropy_log_5_coef | app_LT_entropy_log_6_coef | app_LT_entropy_log_7_coef | app_LT_entropy_log_8_coef | app_LT_entropy_log_9_coef | app_LT_entropy_log_10_coef | app_LT_TKEO_mean_1_coef | app_LT_TKEO_mean_2_coef | app_LT_TKEO_mean_3_coef | app_LT_TKEO_mean_4_coef | app_LT_TKEO_mean_5_coef | app_LT_TKEO_mean_6_coef | app_LT_TKEO_mean_7_coef | app_LT_TKEO_mean_8_coef | app_LT_TKEO_mean_9_coef | app_LT_TKEO_mean_10_coef | app_LT_TKEO_std_1_coef | app_LT_TKEO_std_2_coef | app_LT_TKEO_std_3_coef | app_LT_TKEO_std_4_coef | app_LT_TKEO_std_5_coef | app_LT_TKEO_std_6_coef | app_LT_TKEO_std_7_coef | app_LT_TKEO_std_8_coef | app_LT_TKEO_std_9_coef | app_LT_TKEO_std_10_coef | tqwt_energy_dec_1 | tqwt_energy_dec_2 | tqwt_energy_dec_3 | tqwt_energy_dec_4 | tqwt_energy_dec_5 | tqwt_energy_dec_6 | tqwt_energy_dec_7 | tqwt_energy_dec_8 | tqwt_energy_dec_9 | tqwt_energy_dec_10 | tqwt_energy_dec_11 | tqwt_energy_dec_12 | tqwt_energy_dec_13 | tqwt_energy_dec_14 | tqwt_energy_dec_15 | tqwt_energy_dec_16 | tqwt_energy_dec_17 | tqwt_energy_dec_18 | tqwt_energy_dec_19 | tqwt_energy_dec_20 | tqwt_energy_dec_21 | tqwt_energy_dec_22 | tqwt_energy_dec_23 | tqwt_energy_dec_24 | tqwt_energy_dec_25 | tqwt_energy_dec_26 | tqwt_energy_dec_27 | tqwt_energy_dec_28 | tqwt_energy_dec_29 | tqwt_energy_dec_30 | tqwt_energy_dec_31 | tqwt_energy_dec_32 | tqwt_energy_dec_33 | tqwt_energy_dec_34 | tqwt_energy_dec_35 | tqwt_energy_dec_36 | tqwt_entropy_shannon_dec_1 | tqwt_entropy_shannon_dec_2 | tqwt_entropy_shannon_dec_3 | tqwt_entropy_shannon_dec_4 | tqwt_entropy_shannon_dec_5 | tqwt_entropy_shannon_dec_6 | tqwt_entropy_shannon_dec_7 | tqwt_entropy_shannon_dec_8 | tqwt_entropy_shannon_dec_9 | tqwt_entropy_shannon_dec_10 | tqwt_entropy_shannon_dec_11 | tqwt_entropy_shannon_dec_12 | tqwt_entropy_shannon_dec_13 | tqwt_entropy_shannon_dec_14 | tqwt_entropy_shannon_dec_15 | tqwt_entropy_shannon_dec_16 | tqwt_entropy_shannon_dec_17 | tqwt_entropy_shannon_dec_18 | tqwt_entropy_shannon_dec_19 | tqwt_entropy_shannon_dec_20 | tqwt_entropy_shannon_dec_21 | tqwt_entropy_shannon_dec_22 | tqwt_entropy_shannon_dec_23 | tqwt_entropy_shannon_dec_24 | tqwt_entropy_shannon_dec_25 | tqwt_entropy_shannon_dec_26 | tqwt_entropy_shannon_dec_27 | tqwt_entropy_shannon_dec_28 | tqwt_entropy_shannon_dec_29 | tqwt_entropy_shannon_dec_30 | tqwt_entropy_shannon_dec_31 | tqwt_entropy_shannon_dec_32 | tqwt_entropy_shannon_dec_33 | tqwt_entropy_shannon_dec_34 | tqwt_entropy_shannon_dec_35 | tqwt_entropy_shannon_dec_36 | tqwt_entropy_log_dec_1 | tqwt_entropy_log_dec_2 | tqwt_entropy_log_dec_3 | tqwt_entropy_log_dec_4 | tqwt_entropy_log_dec_5 | tqwt_entropy_log_dec_6 | tqwt_entropy_log_dec_7 | tqwt_entropy_log_dec_8 | tqwt_entropy_log_dec_9 | tqwt_entropy_log_dec_10 | tqwt_entropy_log_dec_11 | tqwt_entropy_log_dec_12 | tqwt_entropy_log_dec_13 | tqwt_entropy_log_dec_14 | tqwt_entropy_log_dec_15 | tqwt_entropy_log_dec_16 | tqwt_entropy_log_dec_17 | tqwt_entropy_log_dec_18 | tqwt_entropy_log_dec_19 | tqwt_entropy_log_dec_20 | tqwt_entropy_log_dec_21 | tqwt_entropy_log_dec_22 | tqwt_entropy_log_dec_23 | tqwt_entropy_log_dec_24 | tqwt_entropy_log_dec_25 | tqwt_entropy_log_dec_26 | tqwt_entropy_log_dec_27 | tqwt_entropy_log_dec_28 | tqwt_entropy_log_dec_29 | tqwt_entropy_log_dec_30 | tqwt_entropy_log_dec_31 | tqwt_entropy_log_dec_32 | tqwt_entropy_log_dec_33 | tqwt_entropy_log_dec_34 | tqwt_entropy_log_dec_35 | tqwt_entropy_log_dec_36 | tqwt_TKEO_mean_dec_1 | tqwt_TKEO_mean_dec_2 | tqwt_TKEO_mean_dec_3 | tqwt_TKEO_mean_dec_4 | tqwt_TKEO_mean_dec_5 | tqwt_TKEO_mean_dec_6 | tqwt_TKEO_mean_dec_7 | tqwt_TKEO_mean_dec_8 | tqwt_TKEO_mean_dec_9 | tqwt_TKEO_mean_dec_10 | tqwt_TKEO_mean_dec_11 | tqwt_TKEO_mean_dec_12 | tqwt_TKEO_mean_dec_13 | tqwt_TKEO_mean_dec_14 | tqwt_TKEO_mean_dec_15 | tqwt_TKEO_mean_dec_16 | tqwt_TKEO_mean_dec_17 | tqwt_TKEO_mean_dec_18 | tqwt_TKEO_mean_dec_19 | tqwt_TKEO_mean_dec_20 | tqwt_TKEO_mean_dec_21 | tqwt_TKEO_mean_dec_22 | tqwt_TKEO_mean_dec_23 | tqwt_TKEO_mean_dec_24 | tqwt_TKEO_mean_dec_25 | tqwt_TKEO_mean_dec_26 | tqwt_TKEO_mean_dec_27 | tqwt_TKEO_mean_dec_28 | tqwt_TKEO_mean_dec_29 | tqwt_TKEO_mean_dec_30 | tqwt_TKEO_mean_dec_31 | tqwt_TKEO_mean_dec_32 | tqwt_TKEO_mean_dec_33 | tqwt_TKEO_mean_dec_34 | tqwt_TKEO_mean_dec_35 | tqwt_TKEO_mean_dec_36 | tqwt_TKEO_std_dec_1 | tqwt_TKEO_std_dec_2 | tqwt_TKEO_std_dec_3 | tqwt_TKEO_std_dec_4 | tqwt_TKEO_std_dec_5 | tqwt_TKEO_std_dec_6 | tqwt_TKEO_std_dec_7 | tqwt_TKEO_std_dec_8 | tqwt_TKEO_std_dec_9 | tqwt_TKEO_std_dec_10 | tqwt_TKEO_std_dec_11 | tqwt_TKEO_std_dec_12 | tqwt_TKEO_std_dec_13 | tqwt_TKEO_std_dec_14 | tqwt_TKEO_std_dec_15 | tqwt_TKEO_std_dec_16 | tqwt_TKEO_std_dec_17 | tqwt_TKEO_std_dec_18 | tqwt_TKEO_std_dec_19 | tqwt_TKEO_std_dec_20 | tqwt_TKEO_std_dec_21 | tqwt_TKEO_std_dec_22 | tqwt_TKEO_std_dec_23 | tqwt_TKEO_std_dec_24 | tqwt_TKEO_std_dec_25 | tqwt_TKEO_std_dec_26 | tqwt_TKEO_std_dec_27 | tqwt_TKEO_std_dec_28 | tqwt_TKEO_std_dec_29 | tqwt_TKEO_std_dec_30 | tqwt_TKEO_std_dec_31 | tqwt_TKEO_std_dec_32 | tqwt_TKEO_std_dec_33 | tqwt_TKEO_std_dec_34 | tqwt_TKEO_std_dec_35 | tqwt_TKEO_std_dec_36 | tqwt_medianValue_dec_1 | tqwt_medianValue_dec_2 | tqwt_medianValue_dec_3 | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | class |
| 1 | 0 | 1 | 0.85247 | 0.71826 | 0.57227 | 240 | 239 | 0.00806353 | 8.68E-05 | 0.00218 | 1.76E-05 | 0.00067 | 0.00129 | 0.002 | 0.05883 | 0.517 | 0.03011 | 0.03496 | 0.04828 | 0.09034 | 0.970805 | 0.036223 | 18.995 | 69.9974958 | 76.08804597 | 72.46551224 | 539.3427351 | 1031.84904 | 2447.162183 | 3655.054806 | 101.0922179 | 83.14744022 | 255.21483 | 396.6436311 | 0.77778 | 11.7245 | 2.8277 | 1.173 | 0.26512 | 0.083127 | 1200445.612 | 1.5347 | 3.0152 | 0.00046263 | 0.00025997 | 0.83621 | 209.6062 | 455.9654 | 1.2825 | 1.3305 | 51.6843 | 5.7784 | 23.261 | 0.2685 | 5.8573 | 0.20023 | 9.1817 | 11.4283 | 8.4781 | 2.4874 | 0.02292 | 0.55527 | -1.6334 | -1.5144 | 0.39725 | 0.61775 | 0.091821 | 0.54775 | -0.0068247 | -0.67274 | -0.001013 | -7.50E-05 | -0.0033637 | -0.00019208 | 0.0013567 | -0.00089961 | -0.003002 | 0.0015484 | 0.0051873 | -0.00020542 | -0.0047367 | 0.0024652 | 0.0025138 | -0.0011875 | -0.00017942 | -0.00082784 | -0.00049845 | 0.0013855 | 0.00017264 | -0.00028585 | 0.00042833 | -4.41E-05 | -0.00033822 | 0.00043047 | 3.83E-05 | -0.00035615 | -7.62E-05 | 2.66E-05 | 0.34158 | 1.0279 | 0.65735 | 0.78036 | 0.30141 | 0.35418 | 0.19127 | 0.22892 | 0.3355 | 0.17101 | 0.28111 | 0.21511 | 0.16605 | 0.17762 | 0.049933 | 0.17226 | 0.089754 | 0.14627 | 0.040231 | 0.060808 | 0.030284 | 0.02883 | 0.042253 | 0.028115 | 0.04718 | 0.035775 | 0.020827 | 0.023057 | 0.016392 | 0.0788 | 0.043847 | 0.06641 | 0.021565 | 0.029594 | 0.015351 | 0.014642 | 0.019681 | 0.012829 | 0.021703 | 0.017089 | 0.010043 | 0.01213 | 99.9996 | 1.53E-07 | 8.86E-07 | 7.43E-06 | 2.10E-05 | 0.00010224 | 1.31E-05 | 4.06E-05 | 2.69E-05 | 1.04E-05 | 0.00020186 | 1.7166 | 5.5625 | 0.04894 | -72.2192 | -866.9373 | -54.5335 | -319.9468 | -165.257 | -42.9705 | -2336.3644 | -779.1377 | -290.208 | -78.3447 | -10.7944 | 10.5089 | -46.3816 | -35.9347 | -46.8515 | -31.2923 | -18.7456 | 0.0024859 | 0.02815 | 0.32455 | 1.5948 | 7.7828 | 2.3013 | 5.6628 | 3.5683 | 2.0302 | 44.7582 | 0.005012 | 0.046228 | 0.68635 | 3.5072 | 26.1213 | 3.7358 | 15.283 | 9.2028 | 4.7887 | 89.767 | -34415952.86 | -41505780.29 | -54991273 | -79779216.69 | -129684181.7 | -232253303.7 | -459058057.8 | -902118385.7 | -1886558836 | -3937753319 | 1116.2921 | 672.8105 | 445.4876 | 322.8542 | 262.2272 | 234.6861 | 231.969 | 227.8718 | 238.269 | 248.6663 | 572.1636 | 2023.8169 | 6477.7714 | 18923.0837 | 49173.8993 | 115701.9285 | 245931.5887 | 524800.1114 | 1049747.089 | 2101636.245 | 4181.8549 | 11092.1222 | 27917.7341 | 67151.7571 | 151463.1285 | 326874.1892 | 672089.5253 | 1381934.183 | 2777808.879 | 5547195.189 | 100 | 6.59E-09 | 3.86E-08 | 3.25E-07 | 9.05E-07 | 4.39E-06 | 5.71E-07 | 1.73E-06 | 1.15E-06 | 4.50E-07 | 8.71E-06 | 0.00033833 | 0.0016911 | 0.011168 | 0.026503 | 0.095478 | 0.01607 | 0.039222 | 0.029105 | 0.012719 | 0.14851 | -1820.192 | -871.5514 | -446.3217 | -261.8311 | -182.3583 | -210.734 | -190.3697 | -192.1166 | -175.6679 | -163.4186 | 1.62E-07 | 1.85E-06 | 2.15E-05 | 0.00010395 | 0.00050042 | 0.00015082 | 0.00036353 | 0.00022942 | 0.00013184 | 0.0029043 | 3.25E-07 | 3.04E-06 | 4.55E-05 | 0.00022608 | 0.0016888 | 0.00024467 | 0.00098152 | 0.0005974 | 0.00031087 | 0.0058211 | -19278.0371 | -25711.8622 | -36938.137 | -57264.6625 | -98433.1856 | -184901.7535 | -381059.351 | -776445.2329 | -1676725.978 | -3601122.613 | 414.6434 | 276.485 | 198.5803 | 153.8978 | 132.2489 | 124.1971 | 127.9812 | 130.3804 | 140.7776 | 151.1748 | 0.86121 | 3.0487 | 9.7825 | 28.5949 | 74.3411 | 174.9214 | 371.7296 | 793.068 | 1586.1824 | 3173.0448 | 6.299 | 16.7003 | 42.0762 | 101.0889 | 228.8489 | 493.8563 | 1015.7707 | 2091.946 | 4188.2456 | 8373.9278 | 1.11E-05 | 3.98E-06 | 4.92E-06 | 3.54E-06 | 7.19E-06 | 3.87E-05 | 0.00016363 | 0.0003761 | 0.00039246 | 0.0004061 | 0.00041458 | 0.00023899 | 0.0019048 | 0.012066 | 0.029439 | 0.037555 | 0.089055 | 0.17728 | 0.13122 | 0.051588 | 0.019785 | 0.05609 | 0.12525 | 0.057908 | 0.01007 | 0.057575 | 0.10807 | 0.032743 | 0.00025665 | 1.33E-05 | 6.75E-06 | 2.75E-06 | 2.04E-06 | 1.67E-06 | 1.11E-06 | 5.35E-05 | 0.20497 | 0.076626 | 0.091515 | 0.066105 | 0.12716 | 0.59587 | 2.1832 | 4.5851 | 4.6877 | 4.8635 | 4.884 | 2.818 | 18.8625 | 89.7525 | 174.692 | 189.5 | 360.7126 | 541.6719 | 422.8302 | 225.6461 | 99.3648 | 214.7895 | 337.8141 | 201.3841 | 53.7314 | 178.7287 | 230.2402 | 111.0346 | 2.2372 | 0.15901 | 0.083824 | 0.036109 | 0.027414 | 0.023151 | 0.015562 | 0.55112 | -2037542.225 | -1802551.782 | -1485424.634 | -1245979.172 | -991083.9631 | -745188.5092 | -560498.2903 | -432705.197 | -352797.2473 | -281439.269 | -229943.2967 | -201985.0408 | -127736.2777 | -83962.4084 | -62201.7084 | -52209.7866 | -34671.0477 | -23650.0278 | -20345.6618 | -18507.9939 | -19238.3429 | -11545.4036 | -7369.2484 | -7030.0263 | -8442.5303 | -4459.3054 | -2800.8383 | -3160.3491 | -6399.2202 | -7011.7391 | -6228.1902 | -5536.5796 | -4540.083 | -3726.2679 | -3190.1752 | -2528.9188 | 1.61E-07 | 7.56E-08 | 1.35E-07 | 9.89E-08 | 1.67E-07 | 1.13E-06 | 6.78E-06 | 2.44E-05 | 2.95E-05 | 3.58E-05 | 5.03E-05 | 2.33E-05 | 0.00012787 | 0.0017165 | 0.0069193 | 0.008643 | 0.023558 | 0.074782 | 0.064414 | 0.030886 | 0.010913 | 0.032924 | 0.13939 | 0.069247 | 0.00481 | 0.07756 | 0.25704 | 0.073123 | 0.00040142 | 4.43E-05 | 2.98E-05 | 1.30E-05 | 1.22E-05 | 1.26E-05 | 1.01E-05 | 1.44E-05 | 9.97E-07 | 4.14E-07 | 5.22E-07 | 6.11E-07 | 8.58E-07 | 2.53E-06 | 1.50E-05 | 4.83E-05 | 5.90E-05 | 5.87E-05 | 7.36E-05 | 5.90E-05 | 0.00018979 | 0.0012918 | 0.0065317 | 0.013296 | 0.02762 | 0.071125 | 0.063262 | 0.020787 | 0.01234 | 0.027799 | 0.080709 | 0.032363 | 0.0092097 | 0.024016 | 0.050924 | 0.017784 | 0.0004321 | 6.20E-05 | 4.36E-05 | 2.30E-05 | 1.77E-05 | 1.23E-05 | 9.74E-06 | 0.00011957 | 8.19E-07 | 2.37E-07 | 5.77E-20 | 2.84E-07 | 0 | 9.30E-07 | -1.27E-07 | -1.41E-18 | 9.16E-06 | -1.71E-06 | -3.10E-05 | -9.93E-19 | -5.56E-18 | 0.00056006 | 1.03E-05 | 0 | 0 | -6.10E-17 | -0.00038921 | 0 | 3.81E-17 | 6.15E-17 | 6.74E-17 | 0 | 0 | -2.22E-17 | -0.013372 | 0.056236 | 0.0004446 | 2.85E-19 | 0.00014027 | -8.36E-05 | -0.00016867 | -0.00020162 | -4.27E-05 | -0.01432 | -2.89E-21 | -3.77E-21 | 1.70E-22 | -9.18E-22 | -3.98E-22 | -2.86E-21 | -3.52E-22 | 1.06E-21 | 1.23E-20 | -1.36E-20 | -1.63E-20 | -2.63E-21 | 1.84E-21 | 1.34E-19 | -2.65E-20 | 1.82E-21 | 9.60E-20 | -7.50E-20 | -1.06E-18 | 7.54E-21 | -6.33E-20 | -1.25E-18 | -1.90E-18 | -2.42E-19 | 9.38E-20 | -7.21E-19 | 1.84E-18 | -1.85E-18 | -7.29E-21 | 2.04E-20 | 0 | 6.53E-20 | -2.02E-20 | 7.96E-20 | 1.87E-20 | -0.01461 | 0.00034139 | 0.00022424 | 0.00027317 | 0.00025393 | 0.00039625 | 0.0010075 | 0.0022682 | 0.003767 | 0.0042153 | 0.0046972 | 0.0051989 | 0.0043241 | 0.013373 | 0.036869 | 0.063087 | 0.078064 | 0.13169 | 0.20354 | 0.1918 | 0.13177 | 0.089375 | 0.16487 | 0.26991 | 0.20099 | 0.091819 | 0.24065 | 0.36097 | 0.21776 | 0.021112 | 0.0052758 | 0.0041096 | 0.0028762 | 0.0027106 | 0.0026957 | 0.0024093 | 0.0029658 | -0.0096443 | -0.005025 | -0.0064911 | -0.006014 | -0.0085182 | -0.0092406 | -0.016506 | -0.026006 | -0.026273 | -0.02416 | -0.026321 | -0.024286 | -0.048924 | -0.10839 | -0.19432 | -0.29603 | -0.46639 | -0.61778 | -0.596 | -0.32867 | -0.26301 | -0.44541 | -0.66075 | -0.45846 | -0.2454 | -0.45883 | -0.65524 | -0.36007 | -0.060063 | -0.017824 | -0.013598 | -0.012346 | -0.009196 | -0.0069326 | -0.006569 | -0.035389 | 0.01432 | 0.0066623 | 0.0064911 | 0.0074746 | 0.0085182 | 0.0094429 | 0.01609 | 0.026006 | 0.028117 | 0.025222 | 0.022796 | 0.024286 | 0.048924 | 0.10575 | 0.20486 | 0.29603 | 0.46639 | 0.61778 | 0.59309 | 0.32867 | 0.26301 | 0.44541 | 0.66075 | 0.45846 | 0.2454 | 0.45883 | 0.64375 | 0.39877 | 0.056849 | 0.017824 | 0.014505 | 0.0084926 | 0.009728 | 0.0067535 | 0.0060726 | -0.0090458 | 0.86453 | 0.43538 | 1.11E-15 | 0.36745 | 0 | -0.0043099 | -0.0053825 | -1.11E-17 | -0.00082879 | 0.0016047 | -0.00036202 | 1.01E-15 | -5.85E-17 | -0.0031426 | 0.0074332 | 1.51E-17 | 2.21E-17 | -9.37E-18 | 0.0007342 | -4.33E-18 | -4.47E-17 | -1.39E-17 | -3.50E-17 | -4.29E-19 | -9.66E-18 | -1.66E-17 | 0.00011457 | -0.1029 | 0.030756 | 7.07E-17 | -0.086911 | -0.28507 | -0.17362 | 0.071728 | 0.010352 | -2.7303 | 66.5007 | 36.9934 | 26.3508 | 51.9577 | 21.5451 | 8.2488 | 8.0024 | 6.9635 | 6.9189 | 5.0622 | 4.6068 | 7.7218 | 2.7224 | 2.4171 | 2.9383 | 4.2077 | 3.1541 | 2.8531 | 2.7496 | 2.155 | 2.9457 | 2.1993 | 1.983 | 1.8314 | 2.0062 | 1.6058 | 1.5466 | 1.562 | 2.6445 | 3.8686 | 4.2105 | 5.1221 | 4.4625 | 2.6202 | 3.0004 | 18.9405 | 1 |
| 2 | 0 | 1 | 0.76686 | 0.69481 | 0.53966 | 234 | 233 | 0.008258256 | 7.31E-05 | 0.00195 | 1.61E-05 | 0.00052 | 0.00112 | 0.00157 | 0.05516 | 0.502 | 0.0232 | 0.03675 | 0.06195 | 0.06961 | 0.984322 | 0.017974 | 21.497 | 67.41590313 | 73.04637365 | 71.52894525 | 564.3636145 | 1016.367294 | 2383.565201 | 3498.681572 | 58.4654278 | 86.48729245 | 248.3571266 | 218.2297224 | 0.8125 | 13.8284 | 2.8908 | 1.0221 | 0.22004 | 0.12741 | 1298455.445 | 1.6029 | 3.06 | 0.00061483 | 0.00029472 | 1.0455 | 243.0816 | 379.8429 | 1.3063 | 1.3177 | 24.023 | 6.7916 | 21.8851 | 0.26839 | 6.2366 | 0.20336 | 9.6074 | 12.1387 | 8.5008 | 2.8986 | -0.46733 | 0.45984 | -1.3427 | -1.6759 | 0.17695 | 0.72944 | 0.2361 | 0.54722 | 0.057552 | -0.39555 | -0.001849 | -0.0027 | -0.0026392 | 0.0029153 | -0.0011785 | -0.00077655 | 0.0019941 | -0.00011016 | -0.00064985 | 0.0025287 | -0.00035422 | -0.0029854 | 0.0014515 | 0.0025048 | 0.00048375 | -1.24E-05 | 0.0013862 | -0.00071687 | -0.0013664 | 0.00016261 | -0.00024127 | -0.00061406 | -0.00011168 | -7.23E-05 | 0.00025242 | 0.00026005 | 0.00069057 | -0.00010879 | 0.22994 | 0.92018 | 0.53349 | 0.65764 | 0.30758 | 0.38678 | 0.16571 | 0.2964 | 0.22642 | 0.16785 | 0.21342 | 0.22222 | 0.20581 | 0.2303 | 0.037774 | 0.17047 | 0.072764 | 0.15165 | 0.045076 | 0.076312 | 0.025376 | 0.050259 | 0.037071 | 0.022166 | 0.039071 | 0.030383 | 0.03236 | 0.032486 | 0.014222 | 0.087125 | 0.036786 | 0.077256 | 0.024058 | 0.038709 | 0.012191 | 0.0255 | 0.019374 | 0.010645 | 0.020296 | 0.015389 | 0.015488 | 0.016128 | 99.9998 | 1.68E-07 | 1.23E-06 | 1.24E-05 | 3.11E-05 | 4.63E-05 | 3.64E-05 | 5.37E-06 | 7.38E-05 | 9.34E-06 | 1.28E-05 | 1.7545 | 5.9143 | -13.8866 | -114.6049 | -273.5543 | -210.4995 | -14.093 | -650.1035 | -35.8525 | -53.2382 | -758.8078 | -287.4139 | -56.9104 | -2.2495 | -6.0268 | -20.4266 | -55.9988 | -29.473 | -33.8478 | -22.4413 | 0.0036667 | 0.046661 | 0.85597 | 3.717 | 6.0722 | 5.1009 | 0.93367 | 17.5875 | 1.3738 | 1.8125 | 0.0093482 | 0.078964 | 1.3254 | 3.7067 | 11.787 | 9.262 | 2.2562 | 31.7893 | 3.2381 | 3.8258 | -32588713.93 | -39329560.14 | -52167450.85 | -75736302.45 | -123243056.6 | -220947833.1 | -437011684.1 | -859038700.4 | -1796705970 | -3750669277 | 1110.9296 | 669.803 | 443.6442 | 321.604 | 261.2809 | 233.8954 | 231.2326 | 227.1834 | 237.5807 | 247.9779 | 545.9031 | 1936.8183 | 6203.4329 | 18157.1896 | 47222.6429 | 111142.9462 | 236033.1031 | 502899.2766 | 1005892.96 | 2012043.365 | 3990.8171 | 10580.7939 | 26814.5173 | 63969.6745 | 145371.1558 | 314467.5684 | 642734.4635 | 1327168.357 | 2654568.33 | 5309694.85 | 100 | 7.30E-09 | 5.39E-08 | 5.40E-07 | 1.36E-06 | 2.04E-06 | 1.60E-06 | 2.37E-07 | 3.26E-06 | 4.11E-07 | 5.66E-07 | 0.00036727 | 0.0022342 | 0.017408 | 0.038292 | 0.05036 | 0.039943 | 0.0070543 | 0.065741 | 0.011481 | 0.015545 | -1794.2636 | -873.3035 | -422.458 | -251.8144 | -197.9376 | -183.3561 | -209.3696 | -173.3484 | -177.7185 | -166.2056 | 2.49E-07 | 3.17E-06 | 5.81E-05 | 0.00025339 | 0.00041665 | 0.00034947 | 6.42E-05 | 0.0012097 | 9.43E-05 | 0.00012474 | 6.32E-07 | 5.39E-06 | 8.96E-05 | 0.00025559 | 0.0008116 | 0.00063551 | 0.00015527 | 0.0021871 | 0.00022223 | 0.00026275 | -19028.6532 | -25392.0069 | -36496.8101 | -56599.2563 | -97324.883 | -182880.5032 | -376979.9939 | -768230.2335 | -1659120.382 | -3563560.603 | 413.5284 | 275.8597 | 198.1971 | 153.6379 | 132.0522 | 124.0327 | 127.8282 | 130.2373 | 140.6345 | 151.0317 | 0.85289 | 3.0213 | 9.6956 | 28.3506 | 73.7185 | 173.4666 | 368.5705 | 786.0763 | 1572.1837 | 3144.4525 | 6.2381 | 16.5376 | 41.7306 | 100.0918 | 226.9019 | 489.9169 | 1006.3702 | 2074.4541 | 4148.9889 | 8298.1606 | 2.85E-05 | 1.03E-05 | 1.11E-05 | 9.95E-06 | 1.16E-05 | 2.51E-05 | 9.17E-05 | 0.00027638 | 0.00040368 | 0.00044881 | 0.00051462 | 0.00029688 | 0.0016397 | 0.010578 | 0.02846 | 0.038432 | 0.10461 | 0.24217 | 0.16719 | 0.038735 | 0.014496 | 0.031693 | 0.079893 | 0.049325 | 0.0073509 | 0.043457 | 0.09836 | 0.040744 | 0.00061697 | 3.08E-05 | 1.49E-05 | 7.27E-06 | 3.81E-06 | 2.73E-06 | 2.26E-06 | 6.16E-05 | 0.29166 | 0.11366 | 0.12271 | 0.097845 | 0.11144 | 0.2801 | 1.0264 | 2.8481 | 3.9585 | 4.3621 | 4.8483 | 2.7101 | 13.3847 | 65.9794 | 140.8136 | 163.4516 | 367.5642 | 629.8223 | 457.775 | 156.2954 | 65.511 | 124.8502 | 235.1947 | 160.8094 | 35.3951 | 131.3867 | 199.51 | 111.2087 | 3.9404 | 0.24557 | 0.13145 | 0.068996 | 0.038506 | 0.028664 | 0.02386 | 0.51996 | -2031484.253 | -1805547.302 | -1489764.687 | -1260945.267 | -1029091.899 | -784301.4343 | -593534.8933 | -453059.1897 | -359075.8955 | -285733.2255 | -230526.8175 | -203389.4678 | -136442.1326 | -90311.316 | -66006.9965 | -53505.5568 | -33182.7497 | -21148.2216 | -18974.3829 | -20233.2095 | -21925.5308 | -13454.9364 | -8507.0116 | -7720.614 | -9389.7366 | -5013.9281 | -3078.5008 | -3212.9726 | -5792.2069 | -6983.7028 | -6115.804 | -5232.0226 | -4466.8949 | -3719.5566 | -3106.4317 | -2550.7038 | 3.05E-07 | 1.54E-07 | 2.18E-07 | 2.16E-07 | 2.74E-07 | 6.67E-07 | 2.69E-06 | 1.33E-05 | 2.52E-05 | 3.06E-05 | 5.10E-05 | 2.41E-05 | 9.84E-05 | 0.0011556 | 0.0053736 | 0.0071835 | 0.020633 | 0.083515 | 0.068347 | 0.018282 | 0.0070923 | 0.014158 | 0.069615 | 0.051104 | 0.0026297 | 0.043337 | 0.18627 | 0.080423 | 0.00061286 | 8.14E-05 | 4.98E-05 | 2.92E-05 | 1.76E-05 | 1.55E-05 | 1.58E-05 | 2.89E-05 | 2.39E-05 | 9.31E-06 | 1.02E-05 | 1.27E-05 | 1.65E-05 | 2.18E-05 | 2.96E-05 | 4.43E-05 | 6.55E-05 | 8.07E-05 | 0.00011966 | 0.00016935 | 0.00030136 | 0.0011847 | 0.0058638 | 0.011582 | 0.020694 | 0.048548 | 0.050015 | 0.013136 | 0.007855 | 0.012935 | 0.020618 | 0.011377 | 0.007183 | 0.011377 | 0.035418 | 0.018052 | 0.0015779 | 0.00035175 | 0.00016069 | 8.70E-05 | 4.82E-05 | 3.20E-05 | 3.22E-05 | 0.00015255 | 2.14E-07 | -1.87E-07 | 4.33E-20 | 4.08E-07 | 0 | 4.73E-08 | 2.12E-06 | -7.47E-19 | 1.63E-05 | 2.01E-05 | 2.11E-05 | -5.29E-18 | 1.48E-18 | -0.0001459 | -0.0002765 | 0 | 0 | -7.32E-17 | -5.16E-05 | 0 | -4.01E-18 | 3.07E-17 | 3.85E-17 | 0 | 0 | -3.79E-17 | -0.0098891 | 0.0045866 | 0.00011765 | 7.12E-20 | 2.60E-05 | -0.00020704 | -8.01E-05 | -0.00015781 | 1.33E-05 | -0.013974 | -1.77E-21 | 5.66E-21 | -1.19E-21 | 1.85E-20 | 0 | 3.08E-21 | -1.20E-20 | 2.01E-20 | 2.03E-20 | 3.71E-20 | -1.68E-20 | -3.77E-20 | -4.95E-20 | 7.58E-21 | 1.20E-19 | -4.36E-20 | -1.18E-19 | 1.34E-18 | 3.17E-18 | 5.66E-21 | 3.09E-19 | -1.44E-19 | 1.39E-18 | 0 | 1.78E-19 | 3.15E-19 | -4.27E-18 | 1.95E-18 | 7.77E-20 | -2.34E-20 | 9.79E-20 | -5.89E-20 | -6.05E-20 | 2.43E-20 | -2.92E-20 | -0.013605 | 0.00049391 | 0.00032493 | 0.00036952 | 0.00038349 | 0.00045411 | 0.00073142 | 0.0015304 | 0.0029108 | 0.0038536 | 0.0044511 | 0.0052212 | 0.0043442 | 0.011184 | 0.031117 | 0.055913 | 0.071183 | 0.12865 | 0.21443 | 0.19515 | 0.10292 | 0.068959 | 0.11171 | 0.19431 | 0.16721 | 0.070714 | 0.18846 | 0.31042 | 0.21896 | 0.029506 | 0.0072289 | 0.0054982 | 0.0042191 | 0.0033429 | 0.0031033 | 0.0030985 | 0.0047797 | -0.07036 | -0.031668 | -0.031342 | -0.035671 | -0.039817 | -0.044589 | -0.050361 | -0.056267 | -0.061855 | -0.066933 | -0.070039 | -0.099695 | -0.11221 | -0.10134 | -0.17254 | -0.25945 | -0.34292 | -0.50757 | -0.47909 | -0.25345 | -0.19328 | -0.26291 | -0.36756 | -0.29252 | -0.1511 | -0.34059 | -0.53495 | -0.3857 | -0.13582 | -0.055053 | -0.031383 | -0.019211 | -0.014257 | -0.008747 | -0.0074379 | -0.024711 | 0.048874 | 0.024703 | 0.031342 | 0.030946 | 0.039817 | 0.042343 | 0.04792 | 0.056267 | 0.055059 | 0.063234 | 0.080975 | 0.099695 | 0.11221 | 0.12158 | 0.18155 | 0.25945 | 0.34292 | 0.50757 | 0.47634 | 0.25345 | 0.19328 | 0.26291 | 0.36756 | 0.29252 | 0.1511 | 0.34059 | 0.50855 | 0.34973 | 0.09236 | 0.055053 | 0.033916 | 0.021793 | 0.017135 | 0.013696 | 0.013895 | 0.028459 | -32.3144 | -12.6809 | -3.29E-15 | -7.2593 | -3.83E-15 | -0.40195 | -0.10174 | 3.35E-17 | -0.033633 | -0.02405 | 0.17808 | -3.68E-15 | -2.35E-17 | 0.0061139 | -9.22E-05 | -7.09E-18 | -3.91E-18 | 8.75E-18 | 0.00033012 | -9.33E-19 | -7.02E-20 | -1.01E-17 | 1.52E-17 | -5.59E-18 | 8.09E-18 | -6.28E-18 | 9.76E-05 | -0.0056792 | -0.2059 | 3.63E-16 | 0.48284 | 0.50453 | 0.68422 | 0.72933 | 0.78041 | 5.2294 | 8643.986 | 3962.0554 | 2976.2411 | 4329.0607 | 4005.1329 | 1127.6762 | 116.5331 | 20.2332 | 13.6395 | 12.5514 | 13.6965 | 60.8974 | 6.2958 | 3.0323 | 3.4039 | 4.3794 | 2.4329 | 2.0585 | 2.1839 | 2.2061 | 3.0999 | 1.9824 | 1.6227 | 1.5783 | 2.047 | 1.5772 | 1.553 | 1.5589 | 3.6107 | 23.5155 | 14.1962 | 11.0261 | 9.5082 | 6.5245 | 6.3431 | 45.178 | 1 |
| 3 | 0 | 1 | 0.85083 | 0.67604 | 0.58982 | 232 | 231 | 0.00833959 | 6.04E-05 | 0.00176 | 1.47E-05 | 0.00057 | 0.00111 | 0.00171 | 0.09902 | 0.897 | 0.05094 | 0.06497 | 0.07772 | 0.15282 | 0.974846 | 0.026313 | 17.651 | 62.66170618 | 71.6335491 | 68.08658253 | 548.4446038 | 1032.406341 | 2357.826954 | 3678.128717 | 160.387771 | 54.68516803 | 151.694847 | 84.24033898 | 0.81818 | 26.9273 | 2.6975 | 0.84951 | 0.15756 | 0.11689 | 1272869.841 | 1.6223 | 3.0309 | 0.00036006 | 0.00026593 | 0.63668 | 238.5976 | 386.4739 | 1.2614 | 1.3078 | 60.0458 | 11.3376 | 41.731 | 0.23034 | 4.8081 | 0.17296 | 9.0512 | 11.3956 | 7.6362 | 3.2208 | -0.48228 | 0.28918 | -1.7334 | -1.4929 | 0.7052 | 0.51173 | 0.16615 | 0.79354 | 0.28698 | -0.64555 | 0.0010882 | -0.0081681 | 0.0025423 | 0.0074243 | -0.001044 | 0.00017662 | -0.00062159 | 0.00061894 | -0.0026842 | -0.00030378 | 0.0036096 | 0.00021663 | -4.28E-06 | -0.00047007 | 0.00035371 | 5.73E-05 | 0.00033263 | 0.00074097 | -0.00015778 | -0.00060471 | 2.52E-05 | -0.00056663 | -0.00039975 | -3.72E-05 | 0.00027211 | -3.17E-05 | -0.00016631 | -0.00029845 | 0.52574 | 0.92039 | 0.53346 | 0.73041 | 0.31337 | 0.44232 | 0.3198 | 0.31467 | 0.30139 | 0.21901 | 0.25827 | 0.22618 | 0.21208 | 0.212 | 0.10945 | 0.14938 | 0.095065 | 0.15179 | 0.045403 | 0.08997 | 0.060735 | 0.054611 | 0.051511 | 0.032326 | 0.047357 | 0.031811 | 0.036249 | 0.038433 | 0.039709 | 0.068793 | 0.040982 | 0.068545 | 0.02474 | 0.039222 | 0.025675 | 0.024607 | 0.024819 | 0.016553 | 0.023186 | 0.017217 | 0.015073 | 0.016257 | 99.9999 | 1.17E-07 | 9.45E-07 | 1.04E-05 | 3.36E-05 | 2.43E-05 | 3.47E-05 | 1.66E-06 | 1.37E-06 | 1.11E-06 | 1.61E-05 | 1.3584 | 5.5814 | -1.9531 | -137.3999 | -102.4895 | -199.3564 | 1.1244 | 1.5957 | 1.908 | -76.5344 | -787.2253 | -282.119 | -51.3601 | -10.8033 | -20.2164 | -28.7072 | -51.3476 | -49.4374 | -59.2535 | -39.3774 | 0.001819 | 0.024522 | 0.61458 | 3.2812 | 2.4414 | 4.221 | 0.25417 | 0.097087 | 0.17991 | 3.1849 | 0.0031152 | 0.044685 | 0.69551 | 4.5176 | 5.8584 | 9.2128 | 0.49192 | 0.36858 | 0.31332 | 5.9953 | -31864278.37 | -38418848.45 | -50880181.14 | -73735268.71 | -119780270 | -214375881.7 | -423881698.8 | -832850139 | -1742078585 | -3636913180 | 1108.7207 | 668.4952 | 442.7709 | 320.9607 | 260.7518 | 233.417 | 230.7762 | 226.7479 | 237.1451 | 247.5423 | 536.3497 | 1890.9098 | 6055.5718 | 17702.5791 | 46038.8972 | 108262.1579 | 230020.8923 | 490695.5293 | 981352.7208 | 1962144.341 | 3923.9493 | 10408.7249 | 26070.3366 | 62510.6817 | 141953.0747 | 305549.8724 | 628576.2761 | 1295706.406 | 2588074.975 | 5177908.6 | 100 | 5.13E-09 | 4.13E-08 | 4.53E-07 | 1.46E-06 | 1.06E-06 | 1.51E-06 | 7.28E-08 | 5.98E-08 | 4.82E-08 | 7.07E-07 | 0.00026765 | 0.0017811 | 0.015126 | 0.039745 | 0.028471 | 0.037096 | 0.0025285 | 0.002126 | 0.001754 | 0.018435 | -1820.6641 | -865.4333 | -415.0493 | -259.3713 | -211.9958 | -191.4528 | -204.3601 | -193.094 | -203.4729 | -183.1261 | 1.27E-07 | 1.71E-06 | 4.28E-05 | 0.00022815 | 0.00016961 | 0.00029389 | 1.79E-05 | 6.78E-06 | 1.24E-05 | 0.00022278 | 2.18E-07 | 3.12E-06 | 4.85E-05 | 0.00031484 | 0.00040559 | 0.00064169 | 3.45E-05 | 2.50E-05 | 2.19E-05 | 0.00042002 | -18926.4578 | -25253.6144 | -36288.7542 | -56258.4752 | -96708.1119 | -181663.4768 | -374463.8517 | -763056.6385 | -1648032.246 | -3539902.4 | 413.0675 | 275.5868 | 198.0149 | 153.5036 | 131.9418 | 123.9329 | 127.7329 | 130.1464 | 140.5436 | 150.9408 | 0.84977 | 3.0062 | 9.647 | 28.2014 | 73.3297 | 172.5204 | 366.5936 | 782.0604 | 1564.1081 | 3128.0295 | 6.2163 | 16.4817 | 41.4869 | 99.6154 | 225.7803 | 486.9865 | 1001.7348 | 2064.1067 | 4127.0967 | 8254.7868 | 3.35E-05 | 9.54E-06 | 7.95E-06 | 5.34E-06 | 7.39E-06 | 3.56E-05 | 0.00015295 | 0.00035153 | 0.00031189 | 0.00032045 | 0.00041377 | 0.00024751 | 0.0019135 | 0.012972 | 0.034346 | 0.045342 | 0.10359 | 0.2331 | 0.19684 | 0.073713 | 0.011667 | 0.013892 | 0.036199 | 0.025447 | 0.0069858 | 0.044641 | 0.10691 | 0.04925 | 0.0010381 | 5.80E-05 | 2.56E-05 | 1.13E-05 | 7.59E-06 | 6.07E-06 | 4.17E-06 | 0.00013596 | 0.22622 | 0.067969 | 0.055977 | 0.03788 | 0.05111 | 0.22049 | 0.82949 | 1.7519 | 1.559 | 1.6033 | 1.9849 | 1.1936 | 7.5923 | 39.0161 | 84.8129 | 101.5144 | 188.1902 | 319.4879 | 273.7422 | 140.831 | 29.3223 | 34.488 | 73.6997 | 53.7727 | 17.5179 | 76.1156 | 132.2911 | 73.8324 | 3.1704 | 0.22832 | 0.10763 | 0.050766 | 0.036305 | 0.029718 | 0.020677 | 0.51712 | -2020711.806 | -1809620.535 | -1518863.7 | -1276516.971 | -1032341.341 | -782015.3863 | -592976.6564 | -460153.4797 | -378522.8213 | -305145.0185 | -246592.6024 | -214707.2576 | -146506.6418 | -99913.1016 | -73185.8529 | -56683.9547 | -41243.4355 | -29134.8907 | -23660.155 | -20578.6196 | -23785.2537 | -17830.7806 | -11965.5691 | -10363.4245 | -10590.644 | -5977.917 | -3829.1785 | -3724.5248 | -5937.264 | -6970.5761 | -6109.0433 | -5388.7857 | -4455.2826 | -3661.5431 | -3082.5691 | -2551.524 | 1.79E-07 | 7.09E-08 | 7.74E-08 | 5.78E-08 | 6.58E-08 | 3.82E-07 | 2.25E-06 | 8.57E-06 | 8.53E-06 | 9.71E-06 | 1.85E-05 | 8.98E-06 | 4.52E-05 | 0.00064935 | 0.002887 | 0.0039688 | 0.0095019 | 0.035002 | 0.035857 | 0.016842 | 0.0022362 | 0.0027582 | 0.013854 | 0.012047 | 0.0012271 | 0.019365 | 0.089922 | 0.044854 | 0.00051204 | 7.21E-05 | 3.89E-05 | 1.94E-05 | 1.64E-05 | 1.64E-05 | 1.36E-05 | 1.10E-05 | 7.16E-07 | 3.28E-07 | 3.70E-07 | 4.36E-07 | 6.07E-07 | 1.09E-06 | 4.55E-06 | 1.55E-05 | 1.51E-05 | 1.29E-05 | 2.43E-05 | 2.10E-05 | 6.74E-05 | 0.00075305 | 0.0035023 | 0.0059839 | 0.01196 | 0.04067 | 0.041622 | 0.0095174 | 0.0031066 | 0.0028386 | 0.0047222 | 0.0039858 | 0.0039894 | 0.0063163 | 0.016461 | 0.0097131 | 0.00077421 | 0.00019161 | 0.00010096 | 4.81E-05 | 2.48E-05 | 1.72E-05 | 1.53E-05 | 9.68E-05 | 5.34E-07 | -4.23E-07 | -8.50E-20 | -2.93E-07 | 0 | 9.40E-07 | -5.18E-06 | -5.36E-19 | 7.42E-06 | -4.62E-06 | 1.72E-05 | -9.79E-19 | -3.74E-19 | 4.54E-05 | 0.00015153 | 0 | 0 | -4.58E-17 | -0.001346 | 0 | -1.19E-17 | -8.65E-18 | 1.32E-17 | 0 | 0 | -1.58E-17 | 0.0043489 | -0.0048027 | 0.00014279 | 1.42E-19 | 0.00017897 | 4.67E-06 | -1.07E-05 | -0.00013592 | 0.00016317 | -0.014231 | 9.44E-22 | -5.04E-22 | -3.29E-22 | -1.47E-21 | 2.60E-22 | 3.10E-21 | -9.07E-21 | -2.91E-22 | -1.05E-21 | 9.08E-21 | 7.08E-22 | 2.58E-21 | -1.20E-20 | -1.13E-19 | 1.47E-19 | -5.18E-20 | -7.42E-20 | 1.05E-18 | -2.19E-18 | -6.03E-20 | 1.76E-19 | 1.52E-19 | 9.51E-19 | 1.88E-19 | 1.88E-20 | -2.70E-19 | -2.12E-18 | 2.66E-18 | 1.75E-19 | 2.34E-20 | -5.60E-20 | -1.68E-20 | 3.53E-20 | 3.03E-20 | 2.19E-20 | -0.014115 | 0.00035847 | 0.00020962 | 0.0002096 | 0.00018826 | 0.00024257 | 0.00058302 | 0.0013241 | 0.0021989 | 0.002269 | 0.0025194 | 0.003136 | 0.002657 | 0.0080929 | 0.023083 | 0.041144 | 0.051791 | 0.085754 | 0.14092 | 0.14184 | 0.095104 | 0.04144 | 0.049543 | 0.08761 | 0.080447 | 0.046176 | 0.12795 | 0.21678 | 0.16125 | 0.025637 | 0.0066428 | 0.0048288 | 0.0035216 | 0.0031609 | 0.0031004 | 0.0028193 | 0.0025955 | -0.012335 | -0.0065223 | -0.0061951 | -0.0063665 | -0.0071569 | -0.0086097 | -0.01069 | -0.012677 | -0.013539 | -0.015216 | -0.019435 | -0.026241 | -0.039886 | -0.081836 | -0.15447 | -0.20036 | -0.28375 | -0.47225 | -0.43444 | -0.23779 | -0.13881 | -0.12276 | -0.17184 | -0.21641 | -0.24864 | -0.2549 | -0.35313 | -0.26568 | -0.066929 | -0.038477 | -0.024064 | -0.018601 | -0.012998 | -0.0080327 | -0.0074711 | -0.020294 | 0.0068916 | 0.0045698 | 0.0061951 | 0.0045936 | 0.0071569 | 0.0057063 | 0.0080594 | 0.012677 | 0.012269 | 0.01111 | 0.01381 | 0.026241 | 0.039886 | 0.081818 | 0.17028 | 0.20036 | 0.28375 | 0.47225 | 0.43091 | 0.23779 | 0.13881 | 0.12276 | 0.17184 | 0.21641 | 0.24864 | 0.2549 | 0.36358 | 0.26786 | 0.074982 | 0.038477 | 0.029836 | 0.020569 | 0.011885 | 0.0094452 | 0.0081649 | -0.0026291 | -0.5552 | -0.49512 | -3.42E-15 | -1.3547 | -4.93E-15 | -0.19022 | -0.040808 | 7.43E-17 | -0.016802 | -0.031809 | -0.006751 | 2.32E-16 | -7.03E-17 | 0.0064467 | -0.0056231 | -1.96E-16 | -2.07E-17 | -1.00E-17 | 0.0043452 | -8.02E-18 | 1.20E-16 | 4.89E-17 | 3.92E-17 | 2.46E-18 | 1.12E-16 | -1.14E-17 | 0.00040248 | -0.0038236 | 0.020236 | -3.90E-17 | 0.30165 | 0.1705 | -0.060885 | 0.26951 | -0.0055224 | 0.35054 | 29.2717 | 32.4971 | 38.9453 | 85.148 | 62.5132 | 9.7308 | 6.889 | 6.1357 | 5.4926 | 3.9078 | 4.0864 | 6.9828 | 3.4411 | 3.5173 | 3.7204 | 4.2212 | 3.4881 | 3.4851 | 3.3007 | 2.0427 | 3.1436 | 2.1203 | 1.6627 | 1.6731 | 3.2597 | 1.5921 | 1.5399 | 1.5643 | 2.3308 | 9.4959 | 10.7458 | 11.0177 | 4.8066 | 2.9199 | 3.1495 | 4.7666 | 1 |
df.columns = df.iloc[0]
df = df[1:]
df.shape
(756, 755)
df.head(4)
| id | gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | det_LT_entropy_shannon_9_coef | det_LT_entropy_shannon_10_coef | det_LT_entropy_log_1_coef | det_LT_entropy_log_2_coef | det_LT_entropy_log_3_coef | det_LT_entropy_log_4_coef | det_LT_entropy_log_5_coef | det_LT_entropy_log_6_coef | det_LT_entropy_log_7_coef | det_LT_entropy_log_8_coef | det_LT_entropy_log_9_coef | det_LT_entropy_log_10_coef | det_LT_TKEO_mean_1_coef | det_LT_TKEO_mean_2_coef | det_LT_TKEO_mean_3_coef | det_LT_TKEO_mean_4_coef | det_LT_TKEO_mean_5_coef | det_LT_TKEO_mean_6_coef | det_LT_TKEO_mean_7_coef | det_LT_TKEO_mean_8_coef | det_LT_TKEO_mean_9_coef | det_LT_TKEO_mean_10_coef | det_LT_TKEO_std_1_coef | det_LT_TKEO_std_2_coef | det_LT_TKEO_std_3_coef | det_LT_TKEO_std_4_coef | det_LT_TKEO_std_5_coef | det_LT_TKEO_std_6_coef | det_LT_TKEO_std_7_coef | det_LT_TKEO_std_8_coef | det_LT_TKEO_std_9_coef | det_LT_TKEO_std_10_coef | app_LT_entropy_shannon_1_coef | app_LT_entropy_shannon_2_coef | app_LT_entropy_shannon_3_coef | app_LT_entropy_shannon_4_coef | app_LT_entropy_shannon_5_coef | app_LT_entropy_shannon_6_coef | app_LT_entropy_shannon_7_coef | app_LT_entropy_shannon_8_coef | app_LT_entropy_shannon_9_coef | app_LT_entropy_shannon_10_coef | app_LT_entropy_log_1_coef | app_LT_entropy_log_2_coef | app_LT_entropy_log_3_coef | app_LT_entropy_log_4_coef | app_LT_entropy_log_5_coef | app_LT_entropy_log_6_coef | app_LT_entropy_log_7_coef | app_LT_entropy_log_8_coef | app_LT_entropy_log_9_coef | app_LT_entropy_log_10_coef | app_LT_TKEO_mean_1_coef | app_LT_TKEO_mean_2_coef | app_LT_TKEO_mean_3_coef | app_LT_TKEO_mean_4_coef | app_LT_TKEO_mean_5_coef | app_LT_TKEO_mean_6_coef | app_LT_TKEO_mean_7_coef | app_LT_TKEO_mean_8_coef | app_LT_TKEO_mean_9_coef | app_LT_TKEO_mean_10_coef | app_LT_TKEO_std_1_coef | app_LT_TKEO_std_2_coef | app_LT_TKEO_std_3_coef | app_LT_TKEO_std_4_coef | app_LT_TKEO_std_5_coef | app_LT_TKEO_std_6_coef | app_LT_TKEO_std_7_coef | app_LT_TKEO_std_8_coef | app_LT_TKEO_std_9_coef | app_LT_TKEO_std_10_coef | tqwt_energy_dec_1 | tqwt_energy_dec_2 | tqwt_energy_dec_3 | tqwt_energy_dec_4 | tqwt_energy_dec_5 | tqwt_energy_dec_6 | tqwt_energy_dec_7 | tqwt_energy_dec_8 | tqwt_energy_dec_9 | tqwt_energy_dec_10 | tqwt_energy_dec_11 | tqwt_energy_dec_12 | tqwt_energy_dec_13 | tqwt_energy_dec_14 | tqwt_energy_dec_15 | tqwt_energy_dec_16 | tqwt_energy_dec_17 | tqwt_energy_dec_18 | tqwt_energy_dec_19 | tqwt_energy_dec_20 | tqwt_energy_dec_21 | tqwt_energy_dec_22 | tqwt_energy_dec_23 | tqwt_energy_dec_24 | tqwt_energy_dec_25 | tqwt_energy_dec_26 | tqwt_energy_dec_27 | tqwt_energy_dec_28 | tqwt_energy_dec_29 | tqwt_energy_dec_30 | tqwt_energy_dec_31 | tqwt_energy_dec_32 | tqwt_energy_dec_33 | tqwt_energy_dec_34 | tqwt_energy_dec_35 | tqwt_energy_dec_36 | tqwt_entropy_shannon_dec_1 | tqwt_entropy_shannon_dec_2 | tqwt_entropy_shannon_dec_3 | tqwt_entropy_shannon_dec_4 | tqwt_entropy_shannon_dec_5 | tqwt_entropy_shannon_dec_6 | tqwt_entropy_shannon_dec_7 | tqwt_entropy_shannon_dec_8 | tqwt_entropy_shannon_dec_9 | tqwt_entropy_shannon_dec_10 | tqwt_entropy_shannon_dec_11 | tqwt_entropy_shannon_dec_12 | tqwt_entropy_shannon_dec_13 | tqwt_entropy_shannon_dec_14 | tqwt_entropy_shannon_dec_15 | tqwt_entropy_shannon_dec_16 | tqwt_entropy_shannon_dec_17 | tqwt_entropy_shannon_dec_18 | tqwt_entropy_shannon_dec_19 | tqwt_entropy_shannon_dec_20 | tqwt_entropy_shannon_dec_21 | tqwt_entropy_shannon_dec_22 | tqwt_entropy_shannon_dec_23 | tqwt_entropy_shannon_dec_24 | tqwt_entropy_shannon_dec_25 | tqwt_entropy_shannon_dec_26 | tqwt_entropy_shannon_dec_27 | tqwt_entropy_shannon_dec_28 | tqwt_entropy_shannon_dec_29 | tqwt_entropy_shannon_dec_30 | tqwt_entropy_shannon_dec_31 | tqwt_entropy_shannon_dec_32 | tqwt_entropy_shannon_dec_33 | tqwt_entropy_shannon_dec_34 | tqwt_entropy_shannon_dec_35 | tqwt_entropy_shannon_dec_36 | tqwt_entropy_log_dec_1 | tqwt_entropy_log_dec_2 | tqwt_entropy_log_dec_3 | tqwt_entropy_log_dec_4 | tqwt_entropy_log_dec_5 | tqwt_entropy_log_dec_6 | tqwt_entropy_log_dec_7 | tqwt_entropy_log_dec_8 | tqwt_entropy_log_dec_9 | tqwt_entropy_log_dec_10 | tqwt_entropy_log_dec_11 | tqwt_entropy_log_dec_12 | tqwt_entropy_log_dec_13 | tqwt_entropy_log_dec_14 | tqwt_entropy_log_dec_15 | tqwt_entropy_log_dec_16 | tqwt_entropy_log_dec_17 | tqwt_entropy_log_dec_18 | tqwt_entropy_log_dec_19 | tqwt_entropy_log_dec_20 | tqwt_entropy_log_dec_21 | tqwt_entropy_log_dec_22 | tqwt_entropy_log_dec_23 | tqwt_entropy_log_dec_24 | tqwt_entropy_log_dec_25 | tqwt_entropy_log_dec_26 | tqwt_entropy_log_dec_27 | tqwt_entropy_log_dec_28 | tqwt_entropy_log_dec_29 | tqwt_entropy_log_dec_30 | tqwt_entropy_log_dec_31 | tqwt_entropy_log_dec_32 | tqwt_entropy_log_dec_33 | tqwt_entropy_log_dec_34 | tqwt_entropy_log_dec_35 | tqwt_entropy_log_dec_36 | tqwt_TKEO_mean_dec_1 | tqwt_TKEO_mean_dec_2 | tqwt_TKEO_mean_dec_3 | tqwt_TKEO_mean_dec_4 | tqwt_TKEO_mean_dec_5 | tqwt_TKEO_mean_dec_6 | tqwt_TKEO_mean_dec_7 | tqwt_TKEO_mean_dec_8 | tqwt_TKEO_mean_dec_9 | tqwt_TKEO_mean_dec_10 | tqwt_TKEO_mean_dec_11 | tqwt_TKEO_mean_dec_12 | tqwt_TKEO_mean_dec_13 | tqwt_TKEO_mean_dec_14 | tqwt_TKEO_mean_dec_15 | tqwt_TKEO_mean_dec_16 | tqwt_TKEO_mean_dec_17 | tqwt_TKEO_mean_dec_18 | tqwt_TKEO_mean_dec_19 | tqwt_TKEO_mean_dec_20 | tqwt_TKEO_mean_dec_21 | tqwt_TKEO_mean_dec_22 | tqwt_TKEO_mean_dec_23 | tqwt_TKEO_mean_dec_24 | tqwt_TKEO_mean_dec_25 | tqwt_TKEO_mean_dec_26 | tqwt_TKEO_mean_dec_27 | tqwt_TKEO_mean_dec_28 | tqwt_TKEO_mean_dec_29 | tqwt_TKEO_mean_dec_30 | tqwt_TKEO_mean_dec_31 | tqwt_TKEO_mean_dec_32 | tqwt_TKEO_mean_dec_33 | tqwt_TKEO_mean_dec_34 | tqwt_TKEO_mean_dec_35 | tqwt_TKEO_mean_dec_36 | tqwt_TKEO_std_dec_1 | tqwt_TKEO_std_dec_2 | tqwt_TKEO_std_dec_3 | tqwt_TKEO_std_dec_4 | tqwt_TKEO_std_dec_5 | tqwt_TKEO_std_dec_6 | tqwt_TKEO_std_dec_7 | tqwt_TKEO_std_dec_8 | tqwt_TKEO_std_dec_9 | tqwt_TKEO_std_dec_10 | tqwt_TKEO_std_dec_11 | tqwt_TKEO_std_dec_12 | tqwt_TKEO_std_dec_13 | tqwt_TKEO_std_dec_14 | tqwt_TKEO_std_dec_15 | tqwt_TKEO_std_dec_16 | tqwt_TKEO_std_dec_17 | tqwt_TKEO_std_dec_18 | tqwt_TKEO_std_dec_19 | tqwt_TKEO_std_dec_20 | tqwt_TKEO_std_dec_21 | tqwt_TKEO_std_dec_22 | tqwt_TKEO_std_dec_23 | tqwt_TKEO_std_dec_24 | tqwt_TKEO_std_dec_25 | tqwt_TKEO_std_dec_26 | tqwt_TKEO_std_dec_27 | tqwt_TKEO_std_dec_28 | tqwt_TKEO_std_dec_29 | tqwt_TKEO_std_dec_30 | tqwt_TKEO_std_dec_31 | tqwt_TKEO_std_dec_32 | tqwt_TKEO_std_dec_33 | tqwt_TKEO_std_dec_34 | tqwt_TKEO_std_dec_35 | tqwt_TKEO_std_dec_36 | tqwt_medianValue_dec_1 | tqwt_medianValue_dec_2 | tqwt_medianValue_dec_3 | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | 1 | 0.85247 | 0.71826 | 0.57227 | 240 | 239 | 0.00806353 | 8.68E-05 | 0.00218 | 1.76E-05 | 0.00067 | 0.00129 | 0.002 | 0.05883 | 0.517 | 0.03011 | 0.03496 | 0.04828 | 0.09034 | 0.970805 | 0.036223 | 18.995 | 69.9974958 | 76.08804597 | 72.46551224 | 539.3427351 | 1031.84904 | 2447.162183 | 3655.054806 | 101.0922179 | 83.14744022 | 255.21483 | 396.6436311 | 0.77778 | 11.7245 | 2.8277 | 1.173 | 0.26512 | 0.083127 | 1200445.612 | 1.5347 | 3.0152 | 0.00046263 | 0.00025997 | 0.83621 | 209.6062 | 455.9654 | 1.2825 | 1.3305 | 51.6843 | 5.7784 | 23.261 | 0.2685 | 5.8573 | 0.20023 | 9.1817 | 11.4283 | 8.4781 | 2.4874 | 0.02292 | 0.55527 | -1.6334 | -1.5144 | 0.39725 | 0.61775 | 0.091821 | 0.54775 | -0.0068247 | -0.67274 | -0.001013 | -7.50E-05 | -0.0033637 | -0.00019208 | 0.0013567 | -0.00089961 | -0.003002 | 0.0015484 | 0.0051873 | -0.00020542 | -0.0047367 | 0.0024652 | 0.0025138 | -0.0011875 | -0.00017942 | -0.00082784 | -0.00049845 | 0.0013855 | 0.00017264 | -0.00028585 | 0.00042833 | -4.41E-05 | -0.00033822 | 0.00043047 | 3.83E-05 | -0.00035615 | -7.62E-05 | 2.66E-05 | 0.34158 | 1.0279 | 0.65735 | 0.78036 | 0.30141 | 0.35418 | 0.19127 | 0.22892 | 0.3355 | 0.17101 | 0.28111 | 0.21511 | 0.16605 | 0.17762 | 0.049933 | 0.17226 | 0.089754 | 0.14627 | 0.040231 | 0.060808 | 0.030284 | 0.02883 | 0.042253 | 0.028115 | 0.04718 | 0.035775 | 0.020827 | 0.023057 | 0.016392 | 0.0788 | 0.043847 | 0.06641 | 0.021565 | 0.029594 | 0.015351 | 0.014642 | 0.019681 | 0.012829 | 0.021703 | 0.017089 | 0.010043 | 0.01213 | 99.9996 | 1.53E-07 | 8.86E-07 | 7.43E-06 | 2.10E-05 | 0.00010224 | 1.31E-05 | 4.06E-05 | 2.69E-05 | 1.04E-05 | 0.00020186 | 1.7166 | 5.5625 | 0.04894 | -72.2192 | -866.9373 | -54.5335 | -319.9468 | -165.257 | -42.9705 | -2336.3644 | -779.1377 | -290.208 | -78.3447 | -10.7944 | 10.5089 | -46.3816 | -35.9347 | -46.8515 | -31.2923 | -18.7456 | 0.0024859 | 0.02815 | 0.32455 | 1.5948 | 7.7828 | 2.3013 | 5.6628 | 3.5683 | 2.0302 | 44.7582 | 0.005012 | 0.046228 | 0.68635 | 3.5072 | 26.1213 | 3.7358 | 15.283 | 9.2028 | 4.7887 | 89.767 | -34415952.86 | -41505780.29 | -54991273 | -79779216.69 | -129684181.7 | -232253303.7 | -459058057.8 | -902118385.7 | -1886558836 | -3937753319 | 1116.2921 | 672.8105 | 445.4876 | 322.8542 | 262.2272 | 234.6861 | 231.969 | 227.8718 | 238.269 | 248.6663 | 572.1636 | 2023.8169 | 6477.7714 | 18923.0837 | 49173.8993 | 115701.9285 | 245931.5887 | 524800.1114 | 1049747.089 | 2101636.245 | 4181.8549 | 11092.1222 | 27917.7341 | 67151.7571 | 151463.1285 | 326874.1892 | 672089.5253 | 1381934.183 | 2777808.879 | 5547195.189 | 100 | 6.59E-09 | 3.86E-08 | 3.25E-07 | 9.05E-07 | 4.39E-06 | 5.71E-07 | 1.73E-06 | 1.15E-06 | 4.50E-07 | 8.71E-06 | 0.00033833 | 0.0016911 | 0.011168 | 0.026503 | 0.095478 | 0.01607 | 0.039222 | 0.029105 | 0.012719 | 0.14851 | -1820.192 | -871.5514 | -446.3217 | -261.8311 | -182.3583 | -210.734 | -190.3697 | -192.1166 | -175.6679 | -163.4186 | 1.62E-07 | 1.85E-06 | 2.15E-05 | 0.00010395 | 0.00050042 | 0.00015082 | 0.00036353 | 0.00022942 | 0.00013184 | 0.0029043 | 3.25E-07 | 3.04E-06 | 4.55E-05 | 0.00022608 | 0.0016888 | 0.00024467 | 0.00098152 | 0.0005974 | 0.00031087 | 0.0058211 | -19278.0371 | -25711.8622 | -36938.137 | -57264.6625 | -98433.1856 | -184901.7535 | -381059.351 | -776445.2329 | -1676725.978 | -3601122.613 | 414.6434 | 276.485 | 198.5803 | 153.8978 | 132.2489 | 124.1971 | 127.9812 | 130.3804 | 140.7776 | 151.1748 | 0.86121 | 3.0487 | 9.7825 | 28.5949 | 74.3411 | 174.9214 | 371.7296 | 793.068 | 1586.1824 | 3173.0448 | 6.299 | 16.7003 | 42.0762 | 101.0889 | 228.8489 | 493.8563 | 1015.7707 | 2091.946 | 4188.2456 | 8373.9278 | 1.11E-05 | 3.98E-06 | 4.92E-06 | 3.54E-06 | 7.19E-06 | 3.87E-05 | 0.00016363 | 0.0003761 | 0.00039246 | 0.0004061 | 0.00041458 | 0.00023899 | 0.0019048 | 0.012066 | 0.029439 | 0.037555 | 0.089055 | 0.17728 | 0.13122 | 0.051588 | 0.019785 | 0.05609 | 0.12525 | 0.057908 | 0.01007 | 0.057575 | 0.10807 | 0.032743 | 0.00025665 | 1.33E-05 | 6.75E-06 | 2.75E-06 | 2.04E-06 | 1.67E-06 | 1.11E-06 | 5.35E-05 | 0.20497 | 0.076626 | 0.091515 | 0.066105 | 0.12716 | 0.59587 | 2.1832 | 4.5851 | 4.6877 | 4.8635 | 4.884 | 2.818 | 18.8625 | 89.7525 | 174.692 | 189.5 | 360.7126 | 541.6719 | 422.8302 | 225.6461 | 99.3648 | 214.7895 | 337.8141 | 201.3841 | 53.7314 | 178.7287 | 230.2402 | 111.0346 | 2.2372 | 0.15901 | 0.083824 | 0.036109 | 0.027414 | 0.023151 | 0.015562 | 0.55112 | -2037542.225 | -1802551.782 | -1485424.634 | -1245979.172 | -991083.9631 | -745188.5092 | -560498.2903 | -432705.197 | -352797.2473 | -281439.269 | -229943.2967 | -201985.0408 | -127736.2777 | -83962.4084 | -62201.7084 | -52209.7866 | -34671.0477 | -23650.0278 | -20345.6618 | -18507.9939 | -19238.3429 | -11545.4036 | -7369.2484 | -7030.0263 | -8442.5303 | -4459.3054 | -2800.8383 | -3160.3491 | -6399.2202 | -7011.7391 | -6228.1902 | -5536.5796 | -4540.083 | -3726.2679 | -3190.1752 | -2528.9188 | 1.61E-07 | 7.56E-08 | 1.35E-07 | 9.89E-08 | 1.67E-07 | 1.13E-06 | 6.78E-06 | 2.44E-05 | 2.95E-05 | 3.58E-05 | 5.03E-05 | 2.33E-05 | 0.00012787 | 0.0017165 | 0.0069193 | 0.008643 | 0.023558 | 0.074782 | 0.064414 | 0.030886 | 0.010913 | 0.032924 | 0.13939 | 0.069247 | 0.00481 | 0.07756 | 0.25704 | 0.073123 | 0.00040142 | 4.43E-05 | 2.98E-05 | 1.30E-05 | 1.22E-05 | 1.26E-05 | 1.01E-05 | 1.44E-05 | 9.97E-07 | 4.14E-07 | 5.22E-07 | 6.11E-07 | 8.58E-07 | 2.53E-06 | 1.50E-05 | 4.83E-05 | 5.90E-05 | 5.87E-05 | 7.36E-05 | 5.90E-05 | 0.00018979 | 0.0012918 | 0.0065317 | 0.013296 | 0.02762 | 0.071125 | 0.063262 | 0.020787 | 0.01234 | 0.027799 | 0.080709 | 0.032363 | 0.0092097 | 0.024016 | 0.050924 | 0.017784 | 0.0004321 | 6.20E-05 | 4.36E-05 | 2.30E-05 | 1.77E-05 | 1.23E-05 | 9.74E-06 | 0.00011957 | 8.19E-07 | 2.37E-07 | 5.77E-20 | 2.84E-07 | 0 | 9.30E-07 | -1.27E-07 | -1.41E-18 | 9.16E-06 | -1.71E-06 | -3.10E-05 | -9.93E-19 | -5.56E-18 | 0.00056006 | 1.03E-05 | 0 | 0 | -6.10E-17 | -0.00038921 | 0 | 3.81E-17 | 6.15E-17 | 6.74E-17 | 0 | 0 | -2.22E-17 | -0.013372 | 0.056236 | 0.0004446 | 2.85E-19 | 0.00014027 | -8.36E-05 | -0.00016867 | -0.00020162 | -4.27E-05 | -0.01432 | -2.89E-21 | -3.77E-21 | 1.70E-22 | -9.18E-22 | -3.98E-22 | -2.86E-21 | -3.52E-22 | 1.06E-21 | 1.23E-20 | -1.36E-20 | -1.63E-20 | -2.63E-21 | 1.84E-21 | 1.34E-19 | -2.65E-20 | 1.82E-21 | 9.60E-20 | -7.50E-20 | -1.06E-18 | 7.54E-21 | -6.33E-20 | -1.25E-18 | -1.90E-18 | -2.42E-19 | 9.38E-20 | -7.21E-19 | 1.84E-18 | -1.85E-18 | -7.29E-21 | 2.04E-20 | 0 | 6.53E-20 | -2.02E-20 | 7.96E-20 | 1.87E-20 | -0.01461 | 0.00034139 | 0.00022424 | 0.00027317 | 0.00025393 | 0.00039625 | 0.0010075 | 0.0022682 | 0.003767 | 0.0042153 | 0.0046972 | 0.0051989 | 0.0043241 | 0.013373 | 0.036869 | 0.063087 | 0.078064 | 0.13169 | 0.20354 | 0.1918 | 0.13177 | 0.089375 | 0.16487 | 0.26991 | 0.20099 | 0.091819 | 0.24065 | 0.36097 | 0.21776 | 0.021112 | 0.0052758 | 0.0041096 | 0.0028762 | 0.0027106 | 0.0026957 | 0.0024093 | 0.0029658 | -0.0096443 | -0.005025 | -0.0064911 | -0.006014 | -0.0085182 | -0.0092406 | -0.016506 | -0.026006 | -0.026273 | -0.02416 | -0.026321 | -0.024286 | -0.048924 | -0.10839 | -0.19432 | -0.29603 | -0.46639 | -0.61778 | -0.596 | -0.32867 | -0.26301 | -0.44541 | -0.66075 | -0.45846 | -0.2454 | -0.45883 | -0.65524 | -0.36007 | -0.060063 | -0.017824 | -0.013598 | -0.012346 | -0.009196 | -0.0069326 | -0.006569 | -0.035389 | 0.01432 | 0.0066623 | 0.0064911 | 0.0074746 | 0.0085182 | 0.0094429 | 0.01609 | 0.026006 | 0.028117 | 0.025222 | 0.022796 | 0.024286 | 0.048924 | 0.10575 | 0.20486 | 0.29603 | 0.46639 | 0.61778 | 0.59309 | 0.32867 | 0.26301 | 0.44541 | 0.66075 | 0.45846 | 0.2454 | 0.45883 | 0.64375 | 0.39877 | 0.056849 | 0.017824 | 0.014505 | 0.0084926 | 0.009728 | 0.0067535 | 0.0060726 | -0.0090458 | 0.86453 | 0.43538 | 1.11E-15 | 0.36745 | 0 | -0.0043099 | -0.0053825 | -1.11E-17 | -0.00082879 | 0.0016047 | -0.00036202 | 1.01E-15 | -5.85E-17 | -0.0031426 | 0.0074332 | 1.51E-17 | 2.21E-17 | -9.37E-18 | 0.0007342 | -4.33E-18 | -4.47E-17 | -1.39E-17 | -3.50E-17 | -4.29E-19 | -9.66E-18 | -1.66E-17 | 0.00011457 | -0.1029 | 0.030756 | 7.07E-17 | -0.086911 | -0.28507 | -0.17362 | 0.071728 | 0.010352 | -2.7303 | 66.5007 | 36.9934 | 26.3508 | 51.9577 | 21.5451 | 8.2488 | 8.0024 | 6.9635 | 6.9189 | 5.0622 | 4.6068 | 7.7218 | 2.7224 | 2.4171 | 2.9383 | 4.2077 | 3.1541 | 2.8531 | 2.7496 | 2.155 | 2.9457 | 2.1993 | 1.983 | 1.8314 | 2.0062 | 1.6058 | 1.5466 | 1.562 | 2.6445 | 3.8686 | 4.2105 | 5.1221 | 4.4625 | 2.6202 | 3.0004 | 18.9405 | 1 |
| 2 | 0 | 1 | 0.76686 | 0.69481 | 0.53966 | 234 | 233 | 0.008258256 | 7.31E-05 | 0.00195 | 1.61E-05 | 0.00052 | 0.00112 | 0.00157 | 0.05516 | 0.502 | 0.0232 | 0.03675 | 0.06195 | 0.06961 | 0.984322 | 0.017974 | 21.497 | 67.41590313 | 73.04637365 | 71.52894525 | 564.3636145 | 1016.367294 | 2383.565201 | 3498.681572 | 58.4654278 | 86.48729245 | 248.3571266 | 218.2297224 | 0.8125 | 13.8284 | 2.8908 | 1.0221 | 0.22004 | 0.12741 | 1298455.445 | 1.6029 | 3.06 | 0.00061483 | 0.00029472 | 1.0455 | 243.0816 | 379.8429 | 1.3063 | 1.3177 | 24.023 | 6.7916 | 21.8851 | 0.26839 | 6.2366 | 0.20336 | 9.6074 | 12.1387 | 8.5008 | 2.8986 | -0.46733 | 0.45984 | -1.3427 | -1.6759 | 0.17695 | 0.72944 | 0.2361 | 0.54722 | 0.057552 | -0.39555 | -0.001849 | -0.0027 | -0.0026392 | 0.0029153 | -0.0011785 | -0.00077655 | 0.0019941 | -0.00011016 | -0.00064985 | 0.0025287 | -0.00035422 | -0.0029854 | 0.0014515 | 0.0025048 | 0.00048375 | -1.24E-05 | 0.0013862 | -0.00071687 | -0.0013664 | 0.00016261 | -0.00024127 | -0.00061406 | -0.00011168 | -7.23E-05 | 0.00025242 | 0.00026005 | 0.00069057 | -0.00010879 | 0.22994 | 0.92018 | 0.53349 | 0.65764 | 0.30758 | 0.38678 | 0.16571 | 0.2964 | 0.22642 | 0.16785 | 0.21342 | 0.22222 | 0.20581 | 0.2303 | 0.037774 | 0.17047 | 0.072764 | 0.15165 | 0.045076 | 0.076312 | 0.025376 | 0.050259 | 0.037071 | 0.022166 | 0.039071 | 0.030383 | 0.03236 | 0.032486 | 0.014222 | 0.087125 | 0.036786 | 0.077256 | 0.024058 | 0.038709 | 0.012191 | 0.0255 | 0.019374 | 0.010645 | 0.020296 | 0.015389 | 0.015488 | 0.016128 | 99.9998 | 1.68E-07 | 1.23E-06 | 1.24E-05 | 3.11E-05 | 4.63E-05 | 3.64E-05 | 5.37E-06 | 7.38E-05 | 9.34E-06 | 1.28E-05 | 1.7545 | 5.9143 | -13.8866 | -114.6049 | -273.5543 | -210.4995 | -14.093 | -650.1035 | -35.8525 | -53.2382 | -758.8078 | -287.4139 | -56.9104 | -2.2495 | -6.0268 | -20.4266 | -55.9988 | -29.473 | -33.8478 | -22.4413 | 0.0036667 | 0.046661 | 0.85597 | 3.717 | 6.0722 | 5.1009 | 0.93367 | 17.5875 | 1.3738 | 1.8125 | 0.0093482 | 0.078964 | 1.3254 | 3.7067 | 11.787 | 9.262 | 2.2562 | 31.7893 | 3.2381 | 3.8258 | -32588713.93 | -39329560.14 | -52167450.85 | -75736302.45 | -123243056.6 | -220947833.1 | -437011684.1 | -859038700.4 | -1796705970 | -3750669277 | 1110.9296 | 669.803 | 443.6442 | 321.604 | 261.2809 | 233.8954 | 231.2326 | 227.1834 | 237.5807 | 247.9779 | 545.9031 | 1936.8183 | 6203.4329 | 18157.1896 | 47222.6429 | 111142.9462 | 236033.1031 | 502899.2766 | 1005892.96 | 2012043.365 | 3990.8171 | 10580.7939 | 26814.5173 | 63969.6745 | 145371.1558 | 314467.5684 | 642734.4635 | 1327168.357 | 2654568.33 | 5309694.85 | 100 | 7.30E-09 | 5.39E-08 | 5.40E-07 | 1.36E-06 | 2.04E-06 | 1.60E-06 | 2.37E-07 | 3.26E-06 | 4.11E-07 | 5.66E-07 | 0.00036727 | 0.0022342 | 0.017408 | 0.038292 | 0.05036 | 0.039943 | 0.0070543 | 0.065741 | 0.011481 | 0.015545 | -1794.2636 | -873.3035 | -422.458 | -251.8144 | -197.9376 | -183.3561 | -209.3696 | -173.3484 | -177.7185 | -166.2056 | 2.49E-07 | 3.17E-06 | 5.81E-05 | 0.00025339 | 0.00041665 | 0.00034947 | 6.42E-05 | 0.0012097 | 9.43E-05 | 0.00012474 | 6.32E-07 | 5.39E-06 | 8.96E-05 | 0.00025559 | 0.0008116 | 0.00063551 | 0.00015527 | 0.0021871 | 0.00022223 | 0.00026275 | -19028.6532 | -25392.0069 | -36496.8101 | -56599.2563 | -97324.883 | -182880.5032 | -376979.9939 | -768230.2335 | -1659120.382 | -3563560.603 | 413.5284 | 275.8597 | 198.1971 | 153.6379 | 132.0522 | 124.0327 | 127.8282 | 130.2373 | 140.6345 | 151.0317 | 0.85289 | 3.0213 | 9.6956 | 28.3506 | 73.7185 | 173.4666 | 368.5705 | 786.0763 | 1572.1837 | 3144.4525 | 6.2381 | 16.5376 | 41.7306 | 100.0918 | 226.9019 | 489.9169 | 1006.3702 | 2074.4541 | 4148.9889 | 8298.1606 | 2.85E-05 | 1.03E-05 | 1.11E-05 | 9.95E-06 | 1.16E-05 | 2.51E-05 | 9.17E-05 | 0.00027638 | 0.00040368 | 0.00044881 | 0.00051462 | 0.00029688 | 0.0016397 | 0.010578 | 0.02846 | 0.038432 | 0.10461 | 0.24217 | 0.16719 | 0.038735 | 0.014496 | 0.031693 | 0.079893 | 0.049325 | 0.0073509 | 0.043457 | 0.09836 | 0.040744 | 0.00061697 | 3.08E-05 | 1.49E-05 | 7.27E-06 | 3.81E-06 | 2.73E-06 | 2.26E-06 | 6.16E-05 | 0.29166 | 0.11366 | 0.12271 | 0.097845 | 0.11144 | 0.2801 | 1.0264 | 2.8481 | 3.9585 | 4.3621 | 4.8483 | 2.7101 | 13.3847 | 65.9794 | 140.8136 | 163.4516 | 367.5642 | 629.8223 | 457.775 | 156.2954 | 65.511 | 124.8502 | 235.1947 | 160.8094 | 35.3951 | 131.3867 | 199.51 | 111.2087 | 3.9404 | 0.24557 | 0.13145 | 0.068996 | 0.038506 | 0.028664 | 0.02386 | 0.51996 | -2031484.253 | -1805547.302 | -1489764.687 | -1260945.267 | -1029091.899 | -784301.4343 | -593534.8933 | -453059.1897 | -359075.8955 | -285733.2255 | -230526.8175 | -203389.4678 | -136442.1326 | -90311.316 | -66006.9965 | -53505.5568 | -33182.7497 | -21148.2216 | -18974.3829 | -20233.2095 | -21925.5308 | -13454.9364 | -8507.0116 | -7720.614 | -9389.7366 | -5013.9281 | -3078.5008 | -3212.9726 | -5792.2069 | -6983.7028 | -6115.804 | -5232.0226 | -4466.8949 | -3719.5566 | -3106.4317 | -2550.7038 | 3.05E-07 | 1.54E-07 | 2.18E-07 | 2.16E-07 | 2.74E-07 | 6.67E-07 | 2.69E-06 | 1.33E-05 | 2.52E-05 | 3.06E-05 | 5.10E-05 | 2.41E-05 | 9.84E-05 | 0.0011556 | 0.0053736 | 0.0071835 | 0.020633 | 0.083515 | 0.068347 | 0.018282 | 0.0070923 | 0.014158 | 0.069615 | 0.051104 | 0.0026297 | 0.043337 | 0.18627 | 0.080423 | 0.00061286 | 8.14E-05 | 4.98E-05 | 2.92E-05 | 1.76E-05 | 1.55E-05 | 1.58E-05 | 2.89E-05 | 2.39E-05 | 9.31E-06 | 1.02E-05 | 1.27E-05 | 1.65E-05 | 2.18E-05 | 2.96E-05 | 4.43E-05 | 6.55E-05 | 8.07E-05 | 0.00011966 | 0.00016935 | 0.00030136 | 0.0011847 | 0.0058638 | 0.011582 | 0.020694 | 0.048548 | 0.050015 | 0.013136 | 0.007855 | 0.012935 | 0.020618 | 0.011377 | 0.007183 | 0.011377 | 0.035418 | 0.018052 | 0.0015779 | 0.00035175 | 0.00016069 | 8.70E-05 | 4.82E-05 | 3.20E-05 | 3.22E-05 | 0.00015255 | 2.14E-07 | -1.87E-07 | 4.33E-20 | 4.08E-07 | 0 | 4.73E-08 | 2.12E-06 | -7.47E-19 | 1.63E-05 | 2.01E-05 | 2.11E-05 | -5.29E-18 | 1.48E-18 | -0.0001459 | -0.0002765 | 0 | 0 | -7.32E-17 | -5.16E-05 | 0 | -4.01E-18 | 3.07E-17 | 3.85E-17 | 0 | 0 | -3.79E-17 | -0.0098891 | 0.0045866 | 0.00011765 | 7.12E-20 | 2.60E-05 | -0.00020704 | -8.01E-05 | -0.00015781 | 1.33E-05 | -0.013974 | -1.77E-21 | 5.66E-21 | -1.19E-21 | 1.85E-20 | 0 | 3.08E-21 | -1.20E-20 | 2.01E-20 | 2.03E-20 | 3.71E-20 | -1.68E-20 | -3.77E-20 | -4.95E-20 | 7.58E-21 | 1.20E-19 | -4.36E-20 | -1.18E-19 | 1.34E-18 | 3.17E-18 | 5.66E-21 | 3.09E-19 | -1.44E-19 | 1.39E-18 | 0 | 1.78E-19 | 3.15E-19 | -4.27E-18 | 1.95E-18 | 7.77E-20 | -2.34E-20 | 9.79E-20 | -5.89E-20 | -6.05E-20 | 2.43E-20 | -2.92E-20 | -0.013605 | 0.00049391 | 0.00032493 | 0.00036952 | 0.00038349 | 0.00045411 | 0.00073142 | 0.0015304 | 0.0029108 | 0.0038536 | 0.0044511 | 0.0052212 | 0.0043442 | 0.011184 | 0.031117 | 0.055913 | 0.071183 | 0.12865 | 0.21443 | 0.19515 | 0.10292 | 0.068959 | 0.11171 | 0.19431 | 0.16721 | 0.070714 | 0.18846 | 0.31042 | 0.21896 | 0.029506 | 0.0072289 | 0.0054982 | 0.0042191 | 0.0033429 | 0.0031033 | 0.0030985 | 0.0047797 | -0.07036 | -0.031668 | -0.031342 | -0.035671 | -0.039817 | -0.044589 | -0.050361 | -0.056267 | -0.061855 | -0.066933 | -0.070039 | -0.099695 | -0.11221 | -0.10134 | -0.17254 | -0.25945 | -0.34292 | -0.50757 | -0.47909 | -0.25345 | -0.19328 | -0.26291 | -0.36756 | -0.29252 | -0.1511 | -0.34059 | -0.53495 | -0.3857 | -0.13582 | -0.055053 | -0.031383 | -0.019211 | -0.014257 | -0.008747 | -0.0074379 | -0.024711 | 0.048874 | 0.024703 | 0.031342 | 0.030946 | 0.039817 | 0.042343 | 0.04792 | 0.056267 | 0.055059 | 0.063234 | 0.080975 | 0.099695 | 0.11221 | 0.12158 | 0.18155 | 0.25945 | 0.34292 | 0.50757 | 0.47634 | 0.25345 | 0.19328 | 0.26291 | 0.36756 | 0.29252 | 0.1511 | 0.34059 | 0.50855 | 0.34973 | 0.09236 | 0.055053 | 0.033916 | 0.021793 | 0.017135 | 0.013696 | 0.013895 | 0.028459 | -32.3144 | -12.6809 | -3.29E-15 | -7.2593 | -3.83E-15 | -0.40195 | -0.10174 | 3.35E-17 | -0.033633 | -0.02405 | 0.17808 | -3.68E-15 | -2.35E-17 | 0.0061139 | -9.22E-05 | -7.09E-18 | -3.91E-18 | 8.75E-18 | 0.00033012 | -9.33E-19 | -7.02E-20 | -1.01E-17 | 1.52E-17 | -5.59E-18 | 8.09E-18 | -6.28E-18 | 9.76E-05 | -0.0056792 | -0.2059 | 3.63E-16 | 0.48284 | 0.50453 | 0.68422 | 0.72933 | 0.78041 | 5.2294 | 8643.986 | 3962.0554 | 2976.2411 | 4329.0607 | 4005.1329 | 1127.6762 | 116.5331 | 20.2332 | 13.6395 | 12.5514 | 13.6965 | 60.8974 | 6.2958 | 3.0323 | 3.4039 | 4.3794 | 2.4329 | 2.0585 | 2.1839 | 2.2061 | 3.0999 | 1.9824 | 1.6227 | 1.5783 | 2.047 | 1.5772 | 1.553 | 1.5589 | 3.6107 | 23.5155 | 14.1962 | 11.0261 | 9.5082 | 6.5245 | 6.3431 | 45.178 | 1 |
| 3 | 0 | 1 | 0.85083 | 0.67604 | 0.58982 | 232 | 231 | 0.00833959 | 6.04E-05 | 0.00176 | 1.47E-05 | 0.00057 | 0.00111 | 0.00171 | 0.09902 | 0.897 | 0.05094 | 0.06497 | 0.07772 | 0.15282 | 0.974846 | 0.026313 | 17.651 | 62.66170618 | 71.6335491 | 68.08658253 | 548.4446038 | 1032.406341 | 2357.826954 | 3678.128717 | 160.387771 | 54.68516803 | 151.694847 | 84.24033898 | 0.81818 | 26.9273 | 2.6975 | 0.84951 | 0.15756 | 0.11689 | 1272869.841 | 1.6223 | 3.0309 | 0.00036006 | 0.00026593 | 0.63668 | 238.5976 | 386.4739 | 1.2614 | 1.3078 | 60.0458 | 11.3376 | 41.731 | 0.23034 | 4.8081 | 0.17296 | 9.0512 | 11.3956 | 7.6362 | 3.2208 | -0.48228 | 0.28918 | -1.7334 | -1.4929 | 0.7052 | 0.51173 | 0.16615 | 0.79354 | 0.28698 | -0.64555 | 0.0010882 | -0.0081681 | 0.0025423 | 0.0074243 | -0.001044 | 0.00017662 | -0.00062159 | 0.00061894 | -0.0026842 | -0.00030378 | 0.0036096 | 0.00021663 | -4.28E-06 | -0.00047007 | 0.00035371 | 5.73E-05 | 0.00033263 | 0.00074097 | -0.00015778 | -0.00060471 | 2.52E-05 | -0.00056663 | -0.00039975 | -3.72E-05 | 0.00027211 | -3.17E-05 | -0.00016631 | -0.00029845 | 0.52574 | 0.92039 | 0.53346 | 0.73041 | 0.31337 | 0.44232 | 0.3198 | 0.31467 | 0.30139 | 0.21901 | 0.25827 | 0.22618 | 0.21208 | 0.212 | 0.10945 | 0.14938 | 0.095065 | 0.15179 | 0.045403 | 0.08997 | 0.060735 | 0.054611 | 0.051511 | 0.032326 | 0.047357 | 0.031811 | 0.036249 | 0.038433 | 0.039709 | 0.068793 | 0.040982 | 0.068545 | 0.02474 | 0.039222 | 0.025675 | 0.024607 | 0.024819 | 0.016553 | 0.023186 | 0.017217 | 0.015073 | 0.016257 | 99.9999 | 1.17E-07 | 9.45E-07 | 1.04E-05 | 3.36E-05 | 2.43E-05 | 3.47E-05 | 1.66E-06 | 1.37E-06 | 1.11E-06 | 1.61E-05 | 1.3584 | 5.5814 | -1.9531 | -137.3999 | -102.4895 | -199.3564 | 1.1244 | 1.5957 | 1.908 | -76.5344 | -787.2253 | -282.119 | -51.3601 | -10.8033 | -20.2164 | -28.7072 | -51.3476 | -49.4374 | -59.2535 | -39.3774 | 0.001819 | 0.024522 | 0.61458 | 3.2812 | 2.4414 | 4.221 | 0.25417 | 0.097087 | 0.17991 | 3.1849 | 0.0031152 | 0.044685 | 0.69551 | 4.5176 | 5.8584 | 9.2128 | 0.49192 | 0.36858 | 0.31332 | 5.9953 | -31864278.37 | -38418848.45 | -50880181.14 | -73735268.71 | -119780270 | -214375881.7 | -423881698.8 | -832850139 | -1742078585 | -3636913180 | 1108.7207 | 668.4952 | 442.7709 | 320.9607 | 260.7518 | 233.417 | 230.7762 | 226.7479 | 237.1451 | 247.5423 | 536.3497 | 1890.9098 | 6055.5718 | 17702.5791 | 46038.8972 | 108262.1579 | 230020.8923 | 490695.5293 | 981352.7208 | 1962144.341 | 3923.9493 | 10408.7249 | 26070.3366 | 62510.6817 | 141953.0747 | 305549.8724 | 628576.2761 | 1295706.406 | 2588074.975 | 5177908.6 | 100 | 5.13E-09 | 4.13E-08 | 4.53E-07 | 1.46E-06 | 1.06E-06 | 1.51E-06 | 7.28E-08 | 5.98E-08 | 4.82E-08 | 7.07E-07 | 0.00026765 | 0.0017811 | 0.015126 | 0.039745 | 0.028471 | 0.037096 | 0.0025285 | 0.002126 | 0.001754 | 0.018435 | -1820.6641 | -865.4333 | -415.0493 | -259.3713 | -211.9958 | -191.4528 | -204.3601 | -193.094 | -203.4729 | -183.1261 | 1.27E-07 | 1.71E-06 | 4.28E-05 | 0.00022815 | 0.00016961 | 0.00029389 | 1.79E-05 | 6.78E-06 | 1.24E-05 | 0.00022278 | 2.18E-07 | 3.12E-06 | 4.85E-05 | 0.00031484 | 0.00040559 | 0.00064169 | 3.45E-05 | 2.50E-05 | 2.19E-05 | 0.00042002 | -18926.4578 | -25253.6144 | -36288.7542 | -56258.4752 | -96708.1119 | -181663.4768 | -374463.8517 | -763056.6385 | -1648032.246 | -3539902.4 | 413.0675 | 275.5868 | 198.0149 | 153.5036 | 131.9418 | 123.9329 | 127.7329 | 130.1464 | 140.5436 | 150.9408 | 0.84977 | 3.0062 | 9.647 | 28.2014 | 73.3297 | 172.5204 | 366.5936 | 782.0604 | 1564.1081 | 3128.0295 | 6.2163 | 16.4817 | 41.4869 | 99.6154 | 225.7803 | 486.9865 | 1001.7348 | 2064.1067 | 4127.0967 | 8254.7868 | 3.35E-05 | 9.54E-06 | 7.95E-06 | 5.34E-06 | 7.39E-06 | 3.56E-05 | 0.00015295 | 0.00035153 | 0.00031189 | 0.00032045 | 0.00041377 | 0.00024751 | 0.0019135 | 0.012972 | 0.034346 | 0.045342 | 0.10359 | 0.2331 | 0.19684 | 0.073713 | 0.011667 | 0.013892 | 0.036199 | 0.025447 | 0.0069858 | 0.044641 | 0.10691 | 0.04925 | 0.0010381 | 5.80E-05 | 2.56E-05 | 1.13E-05 | 7.59E-06 | 6.07E-06 | 4.17E-06 | 0.00013596 | 0.22622 | 0.067969 | 0.055977 | 0.03788 | 0.05111 | 0.22049 | 0.82949 | 1.7519 | 1.559 | 1.6033 | 1.9849 | 1.1936 | 7.5923 | 39.0161 | 84.8129 | 101.5144 | 188.1902 | 319.4879 | 273.7422 | 140.831 | 29.3223 | 34.488 | 73.6997 | 53.7727 | 17.5179 | 76.1156 | 132.2911 | 73.8324 | 3.1704 | 0.22832 | 0.10763 | 0.050766 | 0.036305 | 0.029718 | 0.020677 | 0.51712 | -2020711.806 | -1809620.535 | -1518863.7 | -1276516.971 | -1032341.341 | -782015.3863 | -592976.6564 | -460153.4797 | -378522.8213 | -305145.0185 | -246592.6024 | -214707.2576 | -146506.6418 | -99913.1016 | -73185.8529 | -56683.9547 | -41243.4355 | -29134.8907 | -23660.155 | -20578.6196 | -23785.2537 | -17830.7806 | -11965.5691 | -10363.4245 | -10590.644 | -5977.917 | -3829.1785 | -3724.5248 | -5937.264 | -6970.5761 | -6109.0433 | -5388.7857 | -4455.2826 | -3661.5431 | -3082.5691 | -2551.524 | 1.79E-07 | 7.09E-08 | 7.74E-08 | 5.78E-08 | 6.58E-08 | 3.82E-07 | 2.25E-06 | 8.57E-06 | 8.53E-06 | 9.71E-06 | 1.85E-05 | 8.98E-06 | 4.52E-05 | 0.00064935 | 0.002887 | 0.0039688 | 0.0095019 | 0.035002 | 0.035857 | 0.016842 | 0.0022362 | 0.0027582 | 0.013854 | 0.012047 | 0.0012271 | 0.019365 | 0.089922 | 0.044854 | 0.00051204 | 7.21E-05 | 3.89E-05 | 1.94E-05 | 1.64E-05 | 1.64E-05 | 1.36E-05 | 1.10E-05 | 7.16E-07 | 3.28E-07 | 3.70E-07 | 4.36E-07 | 6.07E-07 | 1.09E-06 | 4.55E-06 | 1.55E-05 | 1.51E-05 | 1.29E-05 | 2.43E-05 | 2.10E-05 | 6.74E-05 | 0.00075305 | 0.0035023 | 0.0059839 | 0.01196 | 0.04067 | 0.041622 | 0.0095174 | 0.0031066 | 0.0028386 | 0.0047222 | 0.0039858 | 0.0039894 | 0.0063163 | 0.016461 | 0.0097131 | 0.00077421 | 0.00019161 | 0.00010096 | 4.81E-05 | 2.48E-05 | 1.72E-05 | 1.53E-05 | 9.68E-05 | 5.34E-07 | -4.23E-07 | -8.50E-20 | -2.93E-07 | 0 | 9.40E-07 | -5.18E-06 | -5.36E-19 | 7.42E-06 | -4.62E-06 | 1.72E-05 | -9.79E-19 | -3.74E-19 | 4.54E-05 | 0.00015153 | 0 | 0 | -4.58E-17 | -0.001346 | 0 | -1.19E-17 | -8.65E-18 | 1.32E-17 | 0 | 0 | -1.58E-17 | 0.0043489 | -0.0048027 | 0.00014279 | 1.42E-19 | 0.00017897 | 4.67E-06 | -1.07E-05 | -0.00013592 | 0.00016317 | -0.014231 | 9.44E-22 | -5.04E-22 | -3.29E-22 | -1.47E-21 | 2.60E-22 | 3.10E-21 | -9.07E-21 | -2.91E-22 | -1.05E-21 | 9.08E-21 | 7.08E-22 | 2.58E-21 | -1.20E-20 | -1.13E-19 | 1.47E-19 | -5.18E-20 | -7.42E-20 | 1.05E-18 | -2.19E-18 | -6.03E-20 | 1.76E-19 | 1.52E-19 | 9.51E-19 | 1.88E-19 | 1.88E-20 | -2.70E-19 | -2.12E-18 | 2.66E-18 | 1.75E-19 | 2.34E-20 | -5.60E-20 | -1.68E-20 | 3.53E-20 | 3.03E-20 | 2.19E-20 | -0.014115 | 0.00035847 | 0.00020962 | 0.0002096 | 0.00018826 | 0.00024257 | 0.00058302 | 0.0013241 | 0.0021989 | 0.002269 | 0.0025194 | 0.003136 | 0.002657 | 0.0080929 | 0.023083 | 0.041144 | 0.051791 | 0.085754 | 0.14092 | 0.14184 | 0.095104 | 0.04144 | 0.049543 | 0.08761 | 0.080447 | 0.046176 | 0.12795 | 0.21678 | 0.16125 | 0.025637 | 0.0066428 | 0.0048288 | 0.0035216 | 0.0031609 | 0.0031004 | 0.0028193 | 0.0025955 | -0.012335 | -0.0065223 | -0.0061951 | -0.0063665 | -0.0071569 | -0.0086097 | -0.01069 | -0.012677 | -0.013539 | -0.015216 | -0.019435 | -0.026241 | -0.039886 | -0.081836 | -0.15447 | -0.20036 | -0.28375 | -0.47225 | -0.43444 | -0.23779 | -0.13881 | -0.12276 | -0.17184 | -0.21641 | -0.24864 | -0.2549 | -0.35313 | -0.26568 | -0.066929 | -0.038477 | -0.024064 | -0.018601 | -0.012998 | -0.0080327 | -0.0074711 | -0.020294 | 0.0068916 | 0.0045698 | 0.0061951 | 0.0045936 | 0.0071569 | 0.0057063 | 0.0080594 | 0.012677 | 0.012269 | 0.01111 | 0.01381 | 0.026241 | 0.039886 | 0.081818 | 0.17028 | 0.20036 | 0.28375 | 0.47225 | 0.43091 | 0.23779 | 0.13881 | 0.12276 | 0.17184 | 0.21641 | 0.24864 | 0.2549 | 0.36358 | 0.26786 | 0.074982 | 0.038477 | 0.029836 | 0.020569 | 0.011885 | 0.0094452 | 0.0081649 | -0.0026291 | -0.5552 | -0.49512 | -3.42E-15 | -1.3547 | -4.93E-15 | -0.19022 | -0.040808 | 7.43E-17 | -0.016802 | -0.031809 | -0.006751 | 2.32E-16 | -7.03E-17 | 0.0064467 | -0.0056231 | -1.96E-16 | -2.07E-17 | -1.00E-17 | 0.0043452 | -8.02E-18 | 1.20E-16 | 4.89E-17 | 3.92E-17 | 2.46E-18 | 1.12E-16 | -1.14E-17 | 0.00040248 | -0.0038236 | 0.020236 | -3.90E-17 | 0.30165 | 0.1705 | -0.060885 | 0.26951 | -0.0055224 | 0.35054 | 29.2717 | 32.4971 | 38.9453 | 85.148 | 62.5132 | 9.7308 | 6.889 | 6.1357 | 5.4926 | 3.9078 | 4.0864 | 6.9828 | 3.4411 | 3.5173 | 3.7204 | 4.2212 | 3.4881 | 3.4851 | 3.3007 | 2.0427 | 3.1436 | 2.1203 | 1.6627 | 1.6731 | 3.2597 | 1.5921 | 1.5399 | 1.5643 | 2.3308 | 9.4959 | 10.7458 | 11.0177 | 4.8066 | 2.9199 | 3.1495 | 4.7666 | 1 |
| 4 | 1 | 0 | 0.41121 | 0.79672 | 0.59257 | 178 | 177 | 0.010857733 | 0.000182739 | 0.00419 | 4.55E-05 | 0.00149 | 0.00268 | 0.00446 | 0.05451 | 0.527 | 0.02395 | 0.02857 | 0.04462 | 0.07185 | 0.968343 | 0.042003 | 19.865 | 76.30698902 | 81.00074938 | 79.19059268 | 819.529588 | 1201.813897 | 3154.035654 | 4122.163933 | 238.6670518 | 191.9849158 | 573.7529088 | 526.1475988 | 0.98548 | 139.5744 | 1.6961 | 0.83405 | 0.17295 | 0.14737 | 1932289.206 | 1.6717 | 3.0293 | 0.00019636 | 0.00019381 | 0.45452 | 79.0921 | 161.1054 | 1.2369 | 1.2986 | 83.6201 | 5.0784 | 35.8179 | 0.23529 | 4.2629 | 0.1751 | 9.8453 | 13.7399 | 6.7365 | 3.1023 | 0.75419 | -1.559 | -1.0083 | -0.65556 | 0.86495 | 1.4837 | -0.15365 | -0.89378 | -0.75427 | 0.077452 | -0.00072002 | -0.0076002 | 0.001532 | 0.00064955 | 0.0012839 | -0.00051613 | 0.0014377 | 0.00030993 | -0.0014487 | -0.00070635 | 0.00048745 | -0.0029968 | -0.0009698 | 0.001058 | -0.00011203 | 0.00065284 | -0.0011438 | 9.42E-05 | 0.00021784 | 0.00061654 | -0.00082259 | 0.00019486 | 0.00026348 | -0.00023155 | 0.00046743 | 0.0001028 | -0.00013207 | -8.01E-05 | 0.21182 | 1.0712 | 0.70803 | 0.59415 | 0.38868 | 0.27861 | 0.31571 | 0.20935 | 0.23498 | 0.24529 | 0.19689 | 0.20629 | 0.20627 | 0.25169 | 0.039296 | 0.18326 | 0.09935 | 0.072753 | 0.046507 | 0.046017 | 0.045901 | 0.035774 | 0.035142 | 0.032577 | 0.024291 | 0.0323 | 0.029051 | 0.037164 | 0.01556 | 0.074119 | 0.040403 | 0.030155 | 0.019442 | 0.018382 | 0.018555 | 0.017274 | 0.016129 | 0.015533 | 0.011976 | 0.015529 | 0.01377 | 0.015713 | 99.0823 | 0.0085456 | 0.020586 | 0.025449 | 0.041488 | 0.062341 | 0.090279 | 0.13331 | 0.23465 | 0.067636 | 0.23338 | -97087.306 | -279305.8601 | -347307.971 | -605087.6711 | -1018351.291 | -1571525.953 | -2432333.316 | -4520938.77 | -1187850.179 | -4571329.829 | -328.3795 | 105.9933 | 118.3538 | 145.1279 | 127.0736 | 115.1613 | 99.4862 | 102.5224 | 94.2247 | 109.5148 | 129.9336 | 383.699 | 1077.8044 | 2857.1343 | 3233.2456 | 8715.5558 | 12621.0552 | 41833.392 | 7594.7548 | 37684.4579 | 432.3708 | 1682.6595 | 2707.5415 | 5456.4506 | 10590.0428 | 18444.5045 | 26794.4372 | 61373.061 | 16630.2743 | 72647.0576 | -44854174.87 | -50479679.82 | -60032621.59 | -76609325.9 | -109696232.2 | -176812107.4 | -330129338.5 | -625193831.3 | -1306601988 | -2722133496 | 1114.463 | 669.4187 | 440.8719 | 318.0211 | 257.23 | 229.4475 | 226.5624 | 222.5964 | 233.0128 | 243.445 | 1901.8331 | 4692.7977 | 10378.0764 | 22556.312 | 44691.4166 | 97623.3041 | 184765.641 | 377576.4933 | 735812.83 | 1507172.433 | 11489.6961 | 27458.8885 | 60867.3395 | 110362.2373 | 200062.7545 | 314057.2871 | 703002.2409 | 1002359.597 | 2359863.04 | 4011147.82 | 99.9734 | 0.00024751 | 0.00058569 | 0.00073641 | 0.001226 | 0.0018344 | 0.0025713 | 0.0038578 | 0.0067259 | 0.0019206 | 0.0069124 | 2.4956 | 3.4691 | 4.182 | 4.6049 | 0.6632 | -3.9944 | -12.5212 | -34.8562 | -3.5002 | -41.1135 | -1383.4552 | -481.5866 | -246.5422 | -106.1949 | -70.022 | -51.5251 | -56.7015 | -45.5159 | -53.0037 | -37.7727 | 0.0072832 | 0.021209 | 0.059953 | 0.16413 | 0.18385 | 0.47943 | 0.70752 | 2.315 | 0.41861 | 2.1657 | 0.024163 | 0.090943 | 0.15171 | 0.31669 | 0.61057 | 1.01 | 1.5094 | 3.3962 | 0.9064 | 4.2027 | -19352.0891 | -25452.5218 | -35824.8476 | -54370.929 | -91686.1704 | -169639.1274 | -347128.0292 | -704471.7514 | -1522358.498 | -3271399.011 | 413.638 | 275.3259 | 197.2795 | 152.594 | 130.948 | 122.8786 | 126.6411 | 129.0689 | 139.4666 | 149.8649 | 0.88367 | 2.9398 | 9.0446 | 26.222 | 67.4885 | 158.1634 | 336.9109 | 724.9443 | 1448.7625 | 2913.3877 | 6.7833 | 16.8216 | 41.3157 | 94.4579 | 211.1565 | 443.3447 | 955.8128 | 1890.1299 | 3910.7029 | 7698.9389 | 5.07E-05 | 4.10E-05 | 4.12E-05 | 4.68E-05 | 6.13E-05 | 4.16E-05 | 6.81E-05 | 0.00013226 | 0.00016727 | 0.00010696 | 6.70E-05 | 0.00070311 | 0.0060201 | 0.021586 | 0.039522 | 0.051449 | 0.041364 | 0.025707 | 0.015339 | 0.018269 | 0.030173 | 0.023593 | 0.061092 | 0.24141 | 0.3388 | 0.067133 | 0.0020723 | 0.0058923 | 0.0066805 | 0.0013384 | 0.00020678 | 0.00013655 | 8.67E-05 | 6.90E-05 | 5.43E-05 | 0.0004854 | 3.2644 | 2.7242 | 2.7098 | 3.0135 | 3.7948 | 2.5648 | 3.8892 | 6.9009 | 8.4406 | 5.4484 | 3.2053 | 28.6449 | 164.5254 | 405.465 | 572.9586 | 646.9783 | 516.0856 | 388.1459 | 283.8624 | 324.7968 | 428.4747 | 312.2889 | 442.2451 | -299.2632 | -1478.3036 | 278.3738 | 38.4777 | 75.2616 | 74.3186 | 24.6215 | 5.2959 | 4.2678 | 2.7938 | 2.2168 | 1.7377 | 10.8069 | -1702568.07 | -1454658.702 | -1187303.62 | -962685.5852 | -777792.1916 | -660578.0325 | -533041.4743 | -418108.6951 | -336685.8193 | -287896.7686 | -255107.4287 | -160775.565 | -103182.8663 | -70072.7154 | -50643.982 | -39123.6393 | -33611.6072 | -27559.051 | -22665.2697 | -16728.0806 | -11364.9476 | -10477.1084 | -6042.5372 | -1891.9492 | -976.8516 | -2473.9872 | -7018.6958 | -4965.0071 | -3893.6863 | -3853.4907 | -3875.9253 | -3124.9244 | -2779.8086 | -2372.6055 | -1965.3808 | -1798.1406 | 2.58E-06 | 4.17E-06 | 4.81E-06 | 6.05E-06 | 1.16E-05 | 7.33E-06 | 1.46E-05 | 3.75E-05 | 6.34E-05 | 4.76E-05 | 2.49E-05 | 0.00016249 | 0.002862 | 0.017546 | 0.039916 | 0.069072 | 0.065807 | 0.049093 | 0.033062 | 0.041257 | 0.1051 | 0.08108 | 0.16641 | 1.1937 | 2.663 | 0.43267 | 0.012883 | 0.064964 | 0.10644 | 0.018764 | 0.0038535 | 0.0034189 | 0.0023835 | 0.0024423 | 0.0022068 | 0.015199 | 6.37E-05 | 2.66E-05 | 2.86E-05 | 3.42E-05 | 4.66E-05 | 5.73E-05 | 7.94E-05 | 0.00013746 | 0.00019942 | 0.00021031 | 0.00023291 | 0.00049299 | 0.0051831 | 0.033105 | 0.074102 | 0.10096 | 0.10324 | 0.068923 | 0.036978 | 0.032334 | 0.050512 | 0.087238 | 0.17131 | 0.70487 | 1.2793 | 0.23683 | 0.036806 | 0.081565 | 0.12697 | 0.036248 | 0.01138 | 0.0047768 | 0.0038366 | 0.0039123 | 0.0039394 | 0.01944 | 3.97E-06 | 5.70E-08 | 3.45E-06 | 3.58E-06 | -3.38E-06 | -4.61E-06 | -9.20E-06 | -1.10E-06 | 3.72E-05 | -1.80E-05 | -4.33E-05 | 1.62E-06 | -7.11E-05 | 0.00064424 | -0.00050248 | -4.74E-06 | 0.00045834 | -0.00089712 | 0.0002404 | 0.0013777 | 0.002527 | -0.0002344 | -0.00040175 | -0.0037296 | 0.0022949 | 0.0011054 | -3.43E-05 | 0.00087303 | 0.00025586 | -0.00062471 | 0.0018057 | 0.0010138 | 0.0018691 | -0.00031291 | 0.0009057 | -0.0034068 | -4.48E-21 | 1.21E-20 | -1.12E-20 | -5.40E-21 | -7.10E-21 | -1.41E-20 | -8.81E-21 | 2.49E-20 | 2.94E-20 | 1.22E-21 | 5.63E-20 | -3.16E-20 | 2.56E-19 | -1.23E-18 | -9.09E-20 | 5.09E-20 | -1.07E-19 | -2.80E-19 | -1.26E-19 | 1.43E-19 | 7.78E-19 | -2.17E-19 | 2.87E-18 | -6.25E-20 | 2.83E-18 | -2.34E-18 | 5.94E-19 | -1.62E-18 | 4.66E-19 | -2.06E-18 | 5.04E-19 | 5.73E-19 | -2.42E-19 | 2.43E-20 | -5.54E-19 | 0.0012506 | 0.0015865 | 0.0015636 | 0.0017156 | 0.0020026 | 0.0025124 | 0.0022673 | 0.003178 | 0.0048503 | 0.0059754 | 0.0052343 | 0.004537 | 0.016104 | 0.05162 | 0.10708 | 0.15872 | 0.19839 | 0.19487 | 0.16829 | 0.14238 | 0.17026 | 0.23965 | 0.23218 | 0.40929 | 0.89105 | 1.1564 | 0.56424 | 0.10853 | 0.20058 | 0.23387 | 0.11479 | 0.049383 | 0.04404 | 0.038407 | 0.037596 | 0.036562 | 0.09767 | -0.08388 | -0.042498 | -0.048721 | -0.051463 | -0.060416 | -0.069825 | -0.078876 | -0.089012 | -0.099344 | -0.11082 | -0.12164 | -0.12999 | -0.26893 | -0.58638 | -0.84814 | -0.91013 | -0.82669 | -0.65225 | -0.52657 | -0.41462 | -0.54714 | -0.68398 | -1.0268 | -2.0973 | -2.3609 | -1.2724 | -0.66787 | -0.70187 | -0.67182 | -0.5069 | -0.35856 | -0.17574 | -0.15448 | -0.11117 | -0.18454 | -0.31074 | 0.12048 | 0.056334 | 0.053598 | 0.059935 | 0.06718 | 0.076199 | 0.083617 | 0.088373 | 0.1038 | 0.11799 | 0.11129 | 0.12297 | 0.27353 | 0.56774 | 0.83417 | 0.94236 | 0.87739 | 0.76014 | 0.50019 | 0.39757 | 0.55106 | 0.61714 | 0.95174 | 2.1388 | 2.388 | 1.2346 | 0.59222 | 0.68665 | 0.67648 | 0.48649 | 0.25456 | 0.15436 | 0.13316 | 0.16153 | 0.12 | 0.44071 | 4.2706 | 0.61673 | 0.06455 | 0.27323 | 0.029176 | 0.17987 | 0.15626 | -0.018663 | -0.014528 | 0.051052 | 0.022622 | -0.030428 | 0.034804 | 0.00015281 | 0.0095613 | 0.0018376 | 0.0090356 | 0.001939 | 0.052791 | -0.0012963 | -0.0012811 | -0.014082 | -0.0012396 | 0.0042441 | 9.94E-05 | -0.017955 | -0.07331 | 0.027619 | 0.0053815 | -0.017733 | -0.76792 | -0.13315 | -0.36717 | 0.36692 | -0.49265 | 0.19164 | 591.0116 | 65.3827 | 53.9852 | 45.4458 | 34.665 | 88.3259 | 46.6869 | 23.2911 | 19.2022 | 42.3957 | 100.3649 | 7.1967 | 6.3892 | 6.5496 | 6.0264 | 4.7656 | 4.8909 | 4.2531 | 3.0295 | 2.0362 | 1.8478 | 2.5776 | 2.2064 | 1.9491 | 1.912 | 1.8829 | 6.9761 | 3.7805 | 3.5664 | 5.2558 | 14.0403 | 4.2235 | 4.6857 | 4.846 | 6.265 | 4.0603 | 1 |
# Info of dataset
df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 756 entries, 1 to 756 Columns: 755 entries, id to class dtypes: object(755) memory usage: 4.4+ MB
df.columns
Index(['id', 'gender', 'PPE', 'DFA', 'RPDE', 'numPulses', 'numPeriodsPulses',
'meanPeriodPulses', 'stdDevPeriodPulses', 'locPctJitter',
...
'tqwt_kurtosisValue_dec_28', 'tqwt_kurtosisValue_dec_29',
'tqwt_kurtosisValue_dec_30', 'tqwt_kurtosisValue_dec_31',
'tqwt_kurtosisValue_dec_32', 'tqwt_kurtosisValue_dec_33',
'tqwt_kurtosisValue_dec_34', 'tqwt_kurtosisValue_dec_35',
'tqwt_kurtosisValue_dec_36', 'class'],
dtype='object', name=0, length=755)
# Getting some statistical measures about the data
df.describe()
| id | gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | det_LT_entropy_shannon_9_coef | det_LT_entropy_shannon_10_coef | det_LT_entropy_log_1_coef | det_LT_entropy_log_2_coef | det_LT_entropy_log_3_coef | det_LT_entropy_log_4_coef | det_LT_entropy_log_5_coef | det_LT_entropy_log_6_coef | det_LT_entropy_log_7_coef | det_LT_entropy_log_8_coef | det_LT_entropy_log_9_coef | det_LT_entropy_log_10_coef | det_LT_TKEO_mean_1_coef | det_LT_TKEO_mean_2_coef | det_LT_TKEO_mean_3_coef | det_LT_TKEO_mean_4_coef | det_LT_TKEO_mean_5_coef | det_LT_TKEO_mean_6_coef | det_LT_TKEO_mean_7_coef | det_LT_TKEO_mean_8_coef | det_LT_TKEO_mean_9_coef | det_LT_TKEO_mean_10_coef | det_LT_TKEO_std_1_coef | det_LT_TKEO_std_2_coef | det_LT_TKEO_std_3_coef | det_LT_TKEO_std_4_coef | det_LT_TKEO_std_5_coef | det_LT_TKEO_std_6_coef | det_LT_TKEO_std_7_coef | det_LT_TKEO_std_8_coef | det_LT_TKEO_std_9_coef | det_LT_TKEO_std_10_coef | app_LT_entropy_shannon_1_coef | app_LT_entropy_shannon_2_coef | app_LT_entropy_shannon_3_coef | app_LT_entropy_shannon_4_coef | app_LT_entropy_shannon_5_coef | app_LT_entropy_shannon_6_coef | app_LT_entropy_shannon_7_coef | app_LT_entropy_shannon_8_coef | app_LT_entropy_shannon_9_coef | app_LT_entropy_shannon_10_coef | app_LT_entropy_log_1_coef | app_LT_entropy_log_2_coef | app_LT_entropy_log_3_coef | app_LT_entropy_log_4_coef | app_LT_entropy_log_5_coef | app_LT_entropy_log_6_coef | app_LT_entropy_log_7_coef | app_LT_entropy_log_8_coef | app_LT_entropy_log_9_coef | app_LT_entropy_log_10_coef | app_LT_TKEO_mean_1_coef | app_LT_TKEO_mean_2_coef | app_LT_TKEO_mean_3_coef | app_LT_TKEO_mean_4_coef | app_LT_TKEO_mean_5_coef | app_LT_TKEO_mean_6_coef | app_LT_TKEO_mean_7_coef | app_LT_TKEO_mean_8_coef | app_LT_TKEO_mean_9_coef | app_LT_TKEO_mean_10_coef | app_LT_TKEO_std_1_coef | app_LT_TKEO_std_2_coef | app_LT_TKEO_std_3_coef | app_LT_TKEO_std_4_coef | app_LT_TKEO_std_5_coef | app_LT_TKEO_std_6_coef | app_LT_TKEO_std_7_coef | app_LT_TKEO_std_8_coef | app_LT_TKEO_std_9_coef | app_LT_TKEO_std_10_coef | tqwt_energy_dec_1 | tqwt_energy_dec_2 | tqwt_energy_dec_3 | tqwt_energy_dec_4 | tqwt_energy_dec_5 | tqwt_energy_dec_6 | tqwt_energy_dec_7 | tqwt_energy_dec_8 | tqwt_energy_dec_9 | tqwt_energy_dec_10 | tqwt_energy_dec_11 | tqwt_energy_dec_12 | tqwt_energy_dec_13 | tqwt_energy_dec_14 | tqwt_energy_dec_15 | tqwt_energy_dec_16 | tqwt_energy_dec_17 | tqwt_energy_dec_18 | tqwt_energy_dec_19 | tqwt_energy_dec_20 | tqwt_energy_dec_21 | tqwt_energy_dec_22 | tqwt_energy_dec_23 | tqwt_energy_dec_24 | tqwt_energy_dec_25 | tqwt_energy_dec_26 | tqwt_energy_dec_27 | tqwt_energy_dec_28 | tqwt_energy_dec_29 | tqwt_energy_dec_30 | tqwt_energy_dec_31 | tqwt_energy_dec_32 | tqwt_energy_dec_33 | tqwt_energy_dec_34 | tqwt_energy_dec_35 | tqwt_energy_dec_36 | tqwt_entropy_shannon_dec_1 | tqwt_entropy_shannon_dec_2 | tqwt_entropy_shannon_dec_3 | tqwt_entropy_shannon_dec_4 | tqwt_entropy_shannon_dec_5 | tqwt_entropy_shannon_dec_6 | tqwt_entropy_shannon_dec_7 | tqwt_entropy_shannon_dec_8 | tqwt_entropy_shannon_dec_9 | tqwt_entropy_shannon_dec_10 | tqwt_entropy_shannon_dec_11 | tqwt_entropy_shannon_dec_12 | tqwt_entropy_shannon_dec_13 | tqwt_entropy_shannon_dec_14 | tqwt_entropy_shannon_dec_15 | tqwt_entropy_shannon_dec_16 | tqwt_entropy_shannon_dec_17 | tqwt_entropy_shannon_dec_18 | tqwt_entropy_shannon_dec_19 | tqwt_entropy_shannon_dec_20 | tqwt_entropy_shannon_dec_21 | tqwt_entropy_shannon_dec_22 | tqwt_entropy_shannon_dec_23 | tqwt_entropy_shannon_dec_24 | tqwt_entropy_shannon_dec_25 | tqwt_entropy_shannon_dec_26 | tqwt_entropy_shannon_dec_27 | tqwt_entropy_shannon_dec_28 | tqwt_entropy_shannon_dec_29 | tqwt_entropy_shannon_dec_30 | tqwt_entropy_shannon_dec_31 | tqwt_entropy_shannon_dec_32 | tqwt_entropy_shannon_dec_33 | tqwt_entropy_shannon_dec_34 | tqwt_entropy_shannon_dec_35 | tqwt_entropy_shannon_dec_36 | tqwt_entropy_log_dec_1 | tqwt_entropy_log_dec_2 | tqwt_entropy_log_dec_3 | tqwt_entropy_log_dec_4 | tqwt_entropy_log_dec_5 | tqwt_entropy_log_dec_6 | tqwt_entropy_log_dec_7 | tqwt_entropy_log_dec_8 | tqwt_entropy_log_dec_9 | tqwt_entropy_log_dec_10 | tqwt_entropy_log_dec_11 | tqwt_entropy_log_dec_12 | tqwt_entropy_log_dec_13 | tqwt_entropy_log_dec_14 | tqwt_entropy_log_dec_15 | tqwt_entropy_log_dec_16 | tqwt_entropy_log_dec_17 | tqwt_entropy_log_dec_18 | tqwt_entropy_log_dec_19 | tqwt_entropy_log_dec_20 | tqwt_entropy_log_dec_21 | tqwt_entropy_log_dec_22 | tqwt_entropy_log_dec_23 | tqwt_entropy_log_dec_24 | tqwt_entropy_log_dec_25 | tqwt_entropy_log_dec_26 | tqwt_entropy_log_dec_27 | tqwt_entropy_log_dec_28 | tqwt_entropy_log_dec_29 | tqwt_entropy_log_dec_30 | tqwt_entropy_log_dec_31 | tqwt_entropy_log_dec_32 | tqwt_entropy_log_dec_33 | tqwt_entropy_log_dec_34 | tqwt_entropy_log_dec_35 | tqwt_entropy_log_dec_36 | tqwt_TKEO_mean_dec_1 | tqwt_TKEO_mean_dec_2 | tqwt_TKEO_mean_dec_3 | tqwt_TKEO_mean_dec_4 | tqwt_TKEO_mean_dec_5 | tqwt_TKEO_mean_dec_6 | tqwt_TKEO_mean_dec_7 | tqwt_TKEO_mean_dec_8 | tqwt_TKEO_mean_dec_9 | tqwt_TKEO_mean_dec_10 | tqwt_TKEO_mean_dec_11 | tqwt_TKEO_mean_dec_12 | tqwt_TKEO_mean_dec_13 | tqwt_TKEO_mean_dec_14 | tqwt_TKEO_mean_dec_15 | tqwt_TKEO_mean_dec_16 | tqwt_TKEO_mean_dec_17 | tqwt_TKEO_mean_dec_18 | tqwt_TKEO_mean_dec_19 | tqwt_TKEO_mean_dec_20 | tqwt_TKEO_mean_dec_21 | tqwt_TKEO_mean_dec_22 | tqwt_TKEO_mean_dec_23 | tqwt_TKEO_mean_dec_24 | tqwt_TKEO_mean_dec_25 | tqwt_TKEO_mean_dec_26 | tqwt_TKEO_mean_dec_27 | tqwt_TKEO_mean_dec_28 | tqwt_TKEO_mean_dec_29 | tqwt_TKEO_mean_dec_30 | tqwt_TKEO_mean_dec_31 | tqwt_TKEO_mean_dec_32 | tqwt_TKEO_mean_dec_33 | tqwt_TKEO_mean_dec_34 | tqwt_TKEO_mean_dec_35 | tqwt_TKEO_mean_dec_36 | tqwt_TKEO_std_dec_1 | tqwt_TKEO_std_dec_2 | tqwt_TKEO_std_dec_3 | tqwt_TKEO_std_dec_4 | tqwt_TKEO_std_dec_5 | tqwt_TKEO_std_dec_6 | tqwt_TKEO_std_dec_7 | tqwt_TKEO_std_dec_8 | tqwt_TKEO_std_dec_9 | tqwt_TKEO_std_dec_10 | tqwt_TKEO_std_dec_11 | tqwt_TKEO_std_dec_12 | tqwt_TKEO_std_dec_13 | tqwt_TKEO_std_dec_14 | tqwt_TKEO_std_dec_15 | tqwt_TKEO_std_dec_16 | tqwt_TKEO_std_dec_17 | tqwt_TKEO_std_dec_18 | tqwt_TKEO_std_dec_19 | tqwt_TKEO_std_dec_20 | tqwt_TKEO_std_dec_21 | tqwt_TKEO_std_dec_22 | tqwt_TKEO_std_dec_23 | tqwt_TKEO_std_dec_24 | tqwt_TKEO_std_dec_25 | tqwt_TKEO_std_dec_26 | tqwt_TKEO_std_dec_27 | tqwt_TKEO_std_dec_28 | tqwt_TKEO_std_dec_29 | tqwt_TKEO_std_dec_30 | tqwt_TKEO_std_dec_31 | tqwt_TKEO_std_dec_32 | tqwt_TKEO_std_dec_33 | tqwt_TKEO_std_dec_34 | tqwt_TKEO_std_dec_35 | tqwt_TKEO_std_dec_36 | tqwt_medianValue_dec_1 | tqwt_medianValue_dec_2 | tqwt_medianValue_dec_3 | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 | 756 |
| unique | 252 | 2 | 740 | 745 | 748 | 315 | 319 | 755 | 646 | 358 | 543 | 183 | 244 | 327 | 734 | 547 | 710 | 709 | 722 | 741 | 747 | 748 | 745 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 754 | 356 | 753 | 380 | 743 | 750 | 735 | 755 | 611 | 587 | 753 | 753 | 752 | 755 | 755 | 653 | 667 | 753 | 752 | 755 | 745 | 752 | 734 | 737 | 753 | 745 | 753 | 751 | 752 | 751 | 750 | 752 | 754 | 752 | 752 | 752 | 753 | 753 | 754 | 754 | 752 | 753 | 755 | 755 | 752 | 753 | 754 | 752 | 753 | 754 | 753 | 717 | 753 | 751 | 747 | 751 | 746 | 747 | 748 | 744 | 745 | 747 | 738 | 746 | 735 | 748 | 752 | 748 | 752 | 749 | 748 | 750 | 742 | 745 | 747 | 743 | 742 | 744 | 742 | 749 | 747 | 752 | 753 | 745 | 747 | 750 | 750 | 751 | 751 | 746 | 747 | 747 | 739 | 748 | 751 | 745 | 745 | 741 | 742 | 742 | 738 | 737 | 747 | 737 | 739 | 734 | 738 | 227 | 585 | 553 | 587 | 636 | 643 | 654 | 648 | 729 | 681 | 744 | 754 | 752 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 754 | 755 | 755 | 755 | 754 | 751 | 754 | 754 | 754 | 754 | 755 | 754 | 755 | 755 | 755 | 753 | 754 | 754 | 755 | 755 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 753 | 754 | 755 | 753 | 753 | 754 | 754 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 103 | 580 | 590 | 608 | 592 | 595 | 608 | 625 | 626 | 645 | 664 | 754 | 754 | 749 | 752 | 751 | 753 | 751 | 753 | 753 | 753 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 754 | 755 | 588 | 596 | 614 | 744 | 749 | 748 | 746 | 752 | 746 | 755 | 615 | 620 | 662 | 748 | 750 | 753 | 752 | 754 | 753 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 753 | 753 | 754 | 751 | 749 | 752 | 750 | 747 | 747 | 748 | 719 | 734 | 749 | 754 | 755 | 754 | 755 | 755 | 755 | 755 | 738 | 754 | 752 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 668 | 665 | 683 | 701 | 709 | 726 | 735 | 751 | 754 | 754 | 752 | 752 | 752 | 754 | 752 | 748 | 750 | 751 | 751 | 754 | 754 | 753 | 753 | 754 | 752 | 752 | 739 | 728 | 701 | 683 | 683 | 691 | 667 | 649 | 650 | 682 | 754 | 753 | 755 | 754 | 755 | 755 | 755 | 755 | 753 | 755 | 753 | 755 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 754 | 755 | 755 | 755 | 755 | 755 | 755 | 754 | 750 | 755 | 754 | 755 | 754 | 753 | 755 | 752 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 755 | 623 | 629 | 638 | 673 | 663 | 667 | 671 | 714 | 713 | 721 | 717 | 726 | 749 | 754 | 752 | 750 | 752 | 752 | 753 | 754 | 751 | 753 | 755 | 753 | 754 | 753 | 745 | 747 | 741 | 740 | 744 | 738 | 721 | 686 | 700 | 711 | 627 | 624 | 636 | 662 | 675 | 684 | 689 | 727 | 729 | 732 | 726 | 743 | 751 | 752 | 752 | 753 | 752 | 751 | 754 | 752 | 753 | 750 | 751 | 755 | 755 | 754 | 754 | 753 | 751 | 742 | 750 | 750 | 734 | 728 | 727 | 746 | 649 | 653 | 630 | 659 | 448 | 670 | 663 | 615 | 669 | 672 | 681 | 676 | 689 | 743 | 749 | 498 | 498 | 640 | 755 | 502 | 662 | 639 | 657 | 502 | 504 | 645 | 752 | 750 | 739 | 636 | 748 | 742 | 745 | 733 | 740 | 740 | 517 | 538 | 580 | 566 | 481 | 556 | 568 | 537 | 565 | 523 | 553 | 541 | 588 | 614 | 608 | 497 | 483 | 562 | 550 | 402 | 511 | 513 | 506 | 363 | 343 | 424 | 394 | 394 | 318 | 332 | 337 | 375 | 361 | 329 | 329 | 742 | 751 | 750 | 749 | 752 | 753 | 752 | 750 | 751 | 754 | 752 | 751 | 753 | 750 | 748 | 746 | 752 | 747 | 751 | 748 | 754 | 747 | 752 | 750 | 751 | 753 | 754 | 755 | 751 | 748 | 754 | 752 | 753 | 751 | 754 | 754 | 754 | 753 | 752 | 751 | 751 | 754 | 749 | 754 | 752 | 751 | 751 | 748 | 753 | 754 | 753 | 751 | 752 | 751 | 751 | 753 | 751 | 754 | 755 | 753 | 746 | 751 | 753 | 752 | 753 | 749 | 752 | 751 | 753 | 752 | 753 | 755 | 755 | 753 | 753 | 751 | 751 | 755 | 753 | 753 | 751 | 751 | 753 | 755 | 754 | 753 | 753 | 752 | 755 | 752 | 753 | 751 | 754 | 750 | 753 | 750 | 752 | 754 | 754 | 754 | 752 | 753 | 752 | 750 | 752 | 755 | 752 | 755 | 754 | 755 | 755 | 740 | 753 | 717 | 754 | 752 | 740 | 754 | 752 | 755 | 739 | 744 | 754 | 754 | 743 | 748 | 741 | 753 | 738 | 736 | 738 | 737 | 741 | 746 | 742 | 755 | 755 | 755 | 740 | 755 | 755 | 755 | 753 | 754 | 754 | 755 | 754 | 754 | 752 | 754 | 754 | 751 | 752 | 753 | 752 | 754 | 751 | 749 | 741 | 744 | 742 | 742 | 740 | 738 | 746 | 735 | 739 | 732 | 728 | 723 | 735 | 750 | 749 | 755 | 752 | 753 | 749 | 752 | 753 | 753 | 754 | 2 |
| top | 0 | 1 | 0.82273 | 0.72248 | 0.62128 | 237 | 236 | 0.006004477 | 7.17E-05 | 0.00076 | 1.39E-05 | 0.00012 | 0.00032 | 0.00036 | 0.07979 | 0.376 | 0.01548 | 0.04917 | 0.02824 | 0.05056 | 0.983329 | 0.005904 | 20.075 | 80.44328048 | 85.61022901 | 82.73382546 | 769.6772481 | 1279.806544 | 3107.527459 | 3738.070756 | 76.4915472 | 117.5349021 | 192.2014234 | 503.6803762 | 1 | 9.5668 | 0 | 1.098 | 0.17387 | 0.12139 | 1603850.207 | 1.6633 | 3.0251 | 0.0015261 | 9.99E-05 | 2.3089 | 51.8085 | 139.5612 | 1.2163 | 1.2749 | 3.2808 | 1.1034 | 1.0993 | 0.18925 | 11.3317 | 0.15146 | 9.3517 | 14.765 | 7.7822 | 1.3788 | 2.1169 | -2.6195 | -0.67967 | -1.3901 | -0.27396 | 1.0783 | -0.17631 | -1.0738 | -0.42982 | -0.12565 | -0.0013314 | -0.011514 | -0.0015488 | -0.0010916 | -8.07E-05 | 0.0026453 | 0.0044531 | -0.0032258 | -0.0029242 | 0.0014311 | 0.0033718 | -0.0010353 | -0.0036452 | 0.0004325 | 1.92E-05 | 5.73E-05 | 2.33E-05 | 9.85E-05 | -9.38E-05 | -7.54E-05 | 0.00026762 | -9.52E-06 | -1.48E-05 | 3.27E-05 | -4.34E-05 | -7.88E-05 | 8.08E-05 | -2.52E-05 | 0.1607 | 0.71658 | 0.55787 | 0.28691 | 0.85063 | 0.30211 | 0.37158 | 0.2606 | 0.36218 | 0.27747 | 0.22312 | 0.2435 | 0.2001 | 0.24995 | 0.024021 | 0.11268 | 0.074251 | 0.040776 | 0.037556 | 0.045201 | 0.028722 | 0.040434 | 0.031597 | 0.032789 | 0.045129 | 0.050382 | 0.029749 | 0.026367 | 0.014648 | 0.060911 | 0.070415 | 0.027965 | 0.029256 | 0.034234 | 0.015587 | 0.018074 | 0.017521 | 0.016375 | 0.02912 | 0.01457 | 0.017715 | 0.013326 | 99.9998 | 2.22E-07 | 1.53E-06 | 1.04E-05 | 2.35E-05 | 2.10E-05 | 3.53E-05 | 1.77E-05 | 1.97E-05 | 3.88E-05 | 2.16E-05 | -143579.351 | 8.4905 | -213935.9387 | -499057.8661 | -49395.0167 | -5630.5059 | -19923.9995 | -84597.2891 | -163612.4289 | -1615876.607 | -510.6657 | -30.7026 | 60.3999 | 104.0748 | 72.2811 | 16.5996 | 55.5711 | 85.1095 | 79.5141 | 39.6698 | 0.0017021 | 0.049866 | 1.961 | 9.5604 | 21.1208 | 69.5429 | 10.6882 | 152.4059 | 1355.5123 | 12940.7857 | 0.038291 | 0.16742 | 6.2329 | 4310.0595 | 915.7738 | 11.8842 | 385.4601 | 541.4823 | 2122.745 | 22280.2711 | -67731292.05 | -83065962.18 | -112515931.7 | -167329996.6 | -279214591.6 | -509674546.2 | -1011756354 | -2002465802 | -4178642207 | -8702324294 | 1181.5314 | 710.687 | 474.8498 | 340.1669 | 276.3746 | 255.3597 | 241.7176 | 239.0371 | 249.4355 | 259.4729 | 1420.0594 | 4348.99 | 14988.094 | 37329.7704 | 94910.9999 | 223868.7433 | 477416.9613 | 1021169.965 | 2048176.434 | 4132549.745 | 12903.5874 | 31140.3083 | 71616.5823 | 139293.5367 | 292324.2286 | 632643.3663 | 1304897.509 | 2652740.665 | 5566104.897 | 10985824.45 | 100 | 1.78E-08 | 1.01E-07 | 2.13E-07 | 1.02E-06 | 1.06E-06 | 1.15E-06 | 1.55E-06 | 1.10E-05 | 1.18E-06 | 2.65E-05 | 0.63668 | 0.001997 | 0.0136 | 0.10229 | 0.015123 | 0.015433 | 0.021171 | 0.15467 | 0.11933 | 0.11152 | -1618.4369 | -661.1125 | -333.9365 | -167.4618 | -139.6009 | -139.3141 | -123.1433 | -77.2417 | -147.2466 | -64.3073 | 1.27E-07 | 3.01E-06 | 1.11E-05 | 5.17E-05 | 6.81E-05 | 0.0010903 | 0.0036381 | 0.0040198 | 0.0025845 | 0.34749 | 1.04E-06 | 1.15E-05 | 2.51E-05 | 0.0001618 | 9.30E-05 | 0.00049265 | 6.27E-05 | 1.2228 | 6.62E-05 | 0.013143 | -22459.5809 | -29910.3059 | -42991.5533 | -66809.6836 | -115124.3702 | -216611.4683 | -446146.6686 | -909269.9978 | -1961225.652 | -4207778.888 | 444.3327 | 285.7305 | 203.5752 | 156.6353 | 134.1898 | 126.0082 | 130.0758 | 132.2244 | 142.9015 | 154.0971 | 1.0779 | 3.3784 | 11.2207 | 32.4873 | 84.2681 | 213.1948 | 421.5579 | 899.7171 | 1800.1383 | 3607.6869 | 7.134 | 18.5528 | 48.8932 | 123.0417 | 259.0087 | 559.1391 | 1152.0157 | 2364.7813 | 4773.1196 | 9524.3362 | 2.22E-05 | 1.33E-05 | 2.14E-05 | 1.19E-05 | 1.04E-05 | 3.33E-05 | 5.77E-05 | 0.0010292 | 6.75E-05 | 7.97E-05 | 2.87E-05 | 0.0015401 | 0.013343 | 0.015294 | 0.043238 | 0.0034606 | 0.30333 | 0.21501 | 0.11362 | 0.034029 | 0.018693 | 0.016799 | 0.010387 | 0.26367 | 0.073999 | 2.29E-05 | 1.58E-05 | 2.63E-05 | 1.64E-05 | 1.95E-05 | 1.84E-05 | 1.62E-05 | 2.35E-05 | 1.57E-05 | 2.78E-06 | 5.35E-05 | 1.5419 | 4.4343 | 43.1972 | 11.4775 | 43.8795 | 18.6767 | 34.0901 | 92.2047 | 2.5246 | 62.5368 | 3.2486 | 195.8444 | 786.2849 | 1398.0791 | 1640.5874 | 1237.5701 | -828.1789 | 475.5647 | 772.2607 | 449.4645 | 167.2237 | 439.6942 | 111.5747 | 128.4411 | 238.9184 | 179.5926 | 19.341 | 2.1325 | 0.57663 | 0.47954 | 1.0031 | 0.50427 | 0.10101 | 1.3108 | 0.057474 | 0.11252 | -1834025.165 | -1384806.398 | -1088164.153 | -872881.861 | -714752.7142 | -574871.8997 | -427840.173 | -311115.2498 | -239883.4696 | -212006.5815 | -200587.2281 | -114003.9147 | -66982.1908 | -43674.3775 | -29237.9766 | -14217.0975 | -10540.5068 | -9042.1702 | -14331.6648 | -15212.9954 | -10613.7967 | -8440.7407 | -11527.6378 | -8419.1196 | -5111.5712 | -4491.6778 | -6777.7729 | -9036.0118 | -7724.529 | -6394.0953 | -5478.9213 | -4478.8224 | -3945.1262 | -3507.3458 | -3015.0037 | -3906.6029 | 1.18E-06 | 1.50E-06 | 1.29E-05 | 4.02E-06 | 1.19E-05 | 1.12E-05 | 1.10E-05 | 1.81E-05 | 1.77E-05 | 1.16E-05 | 1.83E-05 | 1.67E-05 | 6.49E-05 | 0.089627 | 0.12262 | 3.04E-05 | 0.12918 | 0.1823 | 0.17355 | 0.037262 | 0.10832 | 0.10125 | 0.015217 | 0.14689 | 0.011756 | 7.42E-05 | 5.93E-05 | 2.37E-06 | 5.71E-05 | 3.68E-05 | 6.48E-05 | 4.81E-05 | 2.08E-05 | 1.81E-05 | 2.09E-05 | 5.60E-05 | 1.67E-05 | 1.05E-05 | 1.30E-05 | 1.03E-05 | 2.06E-05 | 2.73E-05 | 1.70E-06 | 1.33E-05 | 7.85E-05 | 1.01E-05 | 2.58E-05 | 2.10E-05 | 0.002046 | 0.010043 | 1.81E-05 | 0.10377 | 0.010301 | 0.024243 | 0.22674 | 0.044902 | 0.0018478 | 0.047589 | 0.017402 | 0.016166 | 0.081856 | 0.24105 | 0.0034274 | 9.96E-05 | 0.0013322 | 4.61E-05 | 6.55E-05 | 2.91E-05 | 3.65E-05 | 1.53E-05 | 5.61E-05 | 2.63E-05 | 1.11E-06 | -1.63E-06 | 0 | -1.13E-06 | 0 | 1.01E-05 | 1.53E-05 | 1.53E-19 | -1.73E-05 | -1.85E-05 | 2.09E-05 | 1.19E-05 | -3.87E-18 | 8.73E-05 | 1.85E-05 | 0 | 0 | 0 | 0.0054782 | 0 | 0 | 2.64E-17 | 1.92E-17 | 0 | 0 | 0 | -3.58E-05 | 6.51E-05 | -3.59E-05 | 0 | 4.58E-05 | 7.15E-05 | 1.95E-05 | -4.71E-05 | -2.17E-05 | -0.01501 | 2.07E-22 | -2.83E-22 | 2.04E-21 | -5.10E-22 | 0 | 2.64E-21 | -2.11E-21 | 2.64E-21 | 2.03E-21 | -1.22E-21 | -3.21E-20 | -1.23E-20 | -8.42E-21 | -1.34E-19 | 1.33E-19 | -2.18E-20 | 3.05E-19 | -1.89E-19 | 2.51E-20 | 6.03E-20 | 7.78E-19 | 2.39E-19 | 5.73E-19 | -6.25E-20 | 3.75E-20 | 9.01E-20 | 1.08E-19 | 1.30E-19 | 0 | 0 | 2.80E-20 | -4.21E-20 | 0 | 1.21E-20 | 0 | -0.01461 | 1.13E-05 | 0.0014756 | 0.0028437 | 1.33E-05 | 1.56E-05 | 0.0016595 | 0.0012418 | 0.015306 | 0.0275 | 0.01154 | 0.016481 | 0.011597 | 0.013373 | 0.2359 | 0.36592 | 0.26091 | 0.14428 | 0.21443 | 0.2316 | 0.2482 | 0.11604 | 0.14424 | 0.14697 | 0.17189 | 0.22553 | 0.46348 | 0.061255 | 0.018561 | 0.01064 | 0.013327 | 0.012106 | 0.044263 | 0.0045931 | 0.0030358 | 0.041073 | 0.0033365 | -0.019209 | -0.012993 | -0.017479 | -0.050139 | -0.10698 | -0.10176 | -0.10722 | -0.021824 | -0.10034 | -0.11397 | -0.018193 | -0.15173 | -0.44421 | -0.23413 | -0.42903 | -1.083 | -0.21511 | -0.19821 | -0.27326 | -0.69996 | -0.20152 | -0.85298 | -0.21748 | -1.2352 | -0.0655 | -1.0322 | -0.6362 | -0.11577 | -0.087507 | -0.11879 | -0.19542 | -0.021708 | -0.031694 | -0.010949 | -0.015885 | -0.0229 | 0.014018 | 0.015399 | 0.027463 | 0.030439 | 0.091828 | 0.050066 | 0.038662 | 0.056495 | 0.10265 | 0.030236 | 0.20723 | 0.2792 | 0.51588 | 0.33687 | 0.41668 | 1.8652 | 0.48296 | 0.19821 | 0.65341 | 0.52495 | 0.20881 | 0.4693 | 0.21748 | 0.37942 | 0.61323 | 1.3637 | 0.059857 | 0.39877 | 0.23156 | 0.02517 | 0.075011 | 0.022538 | 0.032368 | 0.095125 | 0.013281 | 0.028534 | 0.4357 | 0.025762 | 0 | 0.0088971 | 0 | 0.022574 | 0.010789 | -3.79E-17 | -0.013203 | 0.013667 | 0.22604 | -1.38E-17 | 1.15E-17 | -0.0032791 | 0.012608 | 2.10E-17 | -1.03E-17 | -2.79E-17 | 1.65E-05 | 1.32E-18 | -3.00E-17 | 2.43E-17 | -3.50E-17 | 0 | 0 | -1.89E-17 | 0.011525 | 0.051053 | 0.094453 | -1.87E-16 | 0.21851 | -0.042178 | 0.085386 | 1.7888 | -2.7179 | -8.9141 | 44.7366 | 3.9502 | 13.3637 | 10.239 | 6.0658 | 4.1187 | 13.3548 | 4.062 | 5.8898 | 4.6953 | 4.3659 | 3.3838 | 2.6395 | 2.4171 | 3.7997 | 2.4591 | 2.3212 | 1.9459 | 2.3028 | 2.2146 | 1.5932 | 2.3395 | 1.6417 | 2.3105 | 1.6885 | 1.6337 | 2.9622 | 1.7726 | 4.0251 | 2.8454 | 4.2105 | 2.6829 | 3.1144 | 12.595 | 4.2391 | 3.2941 | 1 |
| freq | 3 | 390 | 3 | 2 | 2 | 9 | 8 | 2 | 3 | 9 | 10 | 24 | 14 | 11 | 2 | 5 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 385 | 2 | 377 | 2 | 2 | 2 | 2 | 5 | 5 | 2 | 2 | 2 | 2 | 2 | 4 | 4 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 3 | 2 | 3 | 60 | 6 | 6 | 7 | 5 | 4 | 4 | 5 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 366 | 6 | 6 | 4 | 6 | 6 | 5 | 5 | 5 | 4 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 5 | 5 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 6 | 5 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 4 | 4 | 3 | 5 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 3 | 3 | 3 | 4 | 4 | 4 | 4 | 4 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 5 | 5 | 4 | 3 | 5 | 4 | 5 | 3 | 3 | 3 | 4 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 3 | 2 | 4 | 3 | 4 | 4 | 4 | 5 | 5 | 3 | 4 | 4 | 3 | 4 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 3 | 3 | 4 | 2 | 4 | 5 | 8 | 4 | 252 | 4 | 4 | 6 | 5 | 3 | 4 | 4 | 5 | 3 | 2 | 253 | 255 | 9 | 2 | 252 | 9 | 10 | 9 | 254 | 252 | 12 | 2 | 2 | 3 | 10 | 2 | 3 | 3 | 2 | 2 | 3 | 6 | 5 | 6 | 6 | 34 | 8 | 6 | 5 | 6 | 7 | 6 | 5 | 5 | 5 | 5 | 9 | 8 | 6 | 5 | 12 | 6 | 6 | 8 | 14 | 20 | 16 | 15 | 15 | 22 | 20 | 17 | 11 | 15 | 19 | 25 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 32 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 2 | 4 | 4 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 2 | 3 | 3 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 564 |
df.dtypes
0 id object gender object PPE object DFA object RPDE object numPulses object numPeriodsPulses object meanPeriodPulses object stdDevPeriodPulses object locPctJitter object locAbsJitter object rapJitter object ppq5Jitter object ddpJitter object locShimmer object locDbShimmer object apq3Shimmer object apq5Shimmer object apq11Shimmer object ddaShimmer object meanAutoCorrHarmonicity object meanNoiseToHarmHarmonicity object meanHarmToNoiseHarmonicity object minIntensity object maxIntensity object meanIntensity object f1 object f2 object f3 object f4 object b1 object b2 object b3 object b4 object GQ_prc5_95 object GQ_std_cycle_open object GQ_std_cycle_closed object GNE_mean object GNE_std object GNE_SNR_TKEO object GNE_SNR_SEO object GNE_NSR_TKEO object GNE_NSR_SEO object VFER_mean object VFER_std object VFER_entropy object VFER_SNR_TKEO object VFER_SNR_SEO object VFER_NSR_TKEO object VFER_NSR_SEO object IMF_SNR_SEO object IMF_SNR_TKEO object IMF_SNR_entropy object IMF_NSR_SEO object IMF_NSR_TKEO object IMF_NSR_entropy object mean_Log_energy object mean_MFCC_0th_coef object mean_MFCC_1st_coef object mean_MFCC_2nd_coef object mean_MFCC_3rd_coef object mean_MFCC_4th_coef object mean_MFCC_5th_coef object mean_MFCC_6th_coef object mean_MFCC_7th_coef object mean_MFCC_8th_coef object mean_MFCC_9th_coef object mean_MFCC_10th_coef object mean_MFCC_11th_coef object mean_MFCC_12th_coef object mean_delta_log_energy object mean_0th_delta object mean_1st_delta object mean_2nd_delta object mean_3rd_delta object mean_4th_delta object mean_5th_delta object mean_6th_delta object mean_7th_delta object mean_8th_delta object mean_9th_delta object mean_10th_delta object mean_11th_delta object mean_12th_delta object mean_delta_delta_log_energy object mean_delta_delta_0th object mean_1st_delta_delta object mean_2nd_delta_delta object mean_3rd_delta_delta object mean_4th_delta_delta object mean_5th_delta_delta object mean_6th_delta_delta object mean_7th_delta_delta object mean_8th_delta_delta object mean_9th_delta_delta object mean_10th_delta_delta object mean_11th_delta_delta object mean_12th_delta_delta object std_Log_energy object std_MFCC_0th_coef object std_MFCC_1st_coef object std_MFCC_2nd_coef object std_MFCC_3rd_coef object std_MFCC_4th_coef object std_MFCC_5th_coef object std_MFCC_6th_coef object std_MFCC_7th_coef object std_MFCC_8th_coef object std_MFCC_9th_coef object std_MFCC_10th_coef object std_MFCC_11th_coef object std_MFCC_12th_coef object std_delta_log_energy object std_0th_delta object std_1st_delta object std_2nd_delta object std_3rd_delta object std_4th_delta object std_5th_delta object std_6th_delta object std_7th_delta object std_8th_delta object std_9th_delta object std_10th_delta object std_11th_delta object std_12th_delta object std_delta_delta_log_energy object std_delta_delta_0th object std_1st_delta_delta object std_2nd_delta_delta object std_3rd_delta_delta object std_4th_delta_delta object std_5th_delta_delta object std_6th_delta_delta object std_7th_delta_delta object std_8th_delta_delta object std_9th_delta_delta object std_10th_delta_delta object std_11th_delta_delta object std_12th_delta_delta object Ea object Ed_1_coef object Ed_2_coef object Ed_3_coef object Ed_4_coef object Ed_5_coef object Ed_6_coef object Ed_7_coef object Ed_8_coef object Ed_9_coef object Ed_10_coef object det_entropy_shannon_1_coef object det_entropy_shannon_2_coef object det_entropy_shannon_3_coef object det_entropy_shannon_4_coef object det_entropy_shannon_5_coef object det_entropy_shannon_6_coef object det_entropy_shannon_7_coef object det_entropy_shannon_8_coef object det_entropy_shannon_9_coef object det_entropy_shannon_10_coef object det_entropy_log_1_coef object det_entropy_log_2_coef object det_entropy_log_3_coef object det_entropy_log_4_coef object det_entropy_log_5_coef object det_entropy_log_6_coef object det_entropy_log_7_coef object det_entropy_log_8_coef object det_entropy_log_9_coef object det_entropy_log_10_coef object det_TKEO_mean_1_coef object det_TKEO_mean_2_coef object det_TKEO_mean_3_coef object det_TKEO_mean_4_coef object det_TKEO_mean_5_coef object det_TKEO_mean_6_coef object det_TKEO_mean_7_coef object det_TKEO_mean_8_coef object det_TKEO_mean_9_coef object det_TKEO_mean_10_coef object det_TKEO_std_1_coef object det_TKEO_std_2_coef object det_TKEO_std_3_coef object det_TKEO_std_4_coef object det_TKEO_std_5_coef object det_TKEO_std_6_coef object det_TKEO_std_7_coef object det_TKEO_std_8_coef object det_TKEO_std_9_coef object det_TKEO_std_10_coef object app_entropy_shannon_1_coef object app_entropy_shannon_2_coef object app_entropy_shannon_3_coef object app_entropy_shannon_4_coef object app_entropy_shannon_5_coef object app_entropy_shannon_6_coef object app_entropy_shannon_7_coef object app_entropy_shannon_8_coef object app_entropy_shannon_9_coef object app_entropy_shannon_10_coef object app_entropy_log_1_coef object app_entropy_log_2_coef object app_entropy_log_3_coef object app_entropy_log_4_coef object app_entropy_log_5_coef object app_entropy_log_6_coef object app_entropy_log_7_coef object app_entropy_log_8_coef object app_entropy_log_9_coef object app_entropy_log_10_coef object app_det_TKEO_mean_1_coef object app_det_TKEO_mean_2_coef object app_det_TKEO_mean_3_coef object app_det_TKEO_mean_4_coef object app_det_TKEO_mean_5_coef object app_det_TKEO_mean_6_coef object app_det_TKEO_mean_7_coef object app_det_TKEO_mean_8_coef object app_det_TKEO_mean_9_coef object app_det_TKEO_mean_10_coef object app_TKEO_std_1_coef object app_TKEO_std_2_coef object app_TKEO_std_3_coef object app_TKEO_std_4_coef object app_TKEO_std_5_coef object app_TKEO_std_6_coef object app_TKEO_std_7_coef object app_TKEO_std_8_coef object app_TKEO_std_9_coef object app_TKEO_std_10_coef object Ea2 object Ed2_1_coef object Ed2_2_coef object Ed2_3_coef object Ed2_4_coef object Ed2_5_coef object Ed2_6_coef object Ed2_7_coef object Ed2_8_coef object Ed2_9_coef object Ed2_10_coef object det_LT_entropy_shannon_1_coef object det_LT_entropy_shannon_2_coef object det_LT_entropy_shannon_3_coef object det_LT_entropy_shannon_4_coef object det_LT_entropy_shannon_5_coef object det_LT_entropy_shannon_6_coef object det_LT_entropy_shannon_7_coef object det_LT_entropy_shannon_8_coef object det_LT_entropy_shannon_9_coef object det_LT_entropy_shannon_10_coef object det_LT_entropy_log_1_coef object det_LT_entropy_log_2_coef object det_LT_entropy_log_3_coef object det_LT_entropy_log_4_coef object det_LT_entropy_log_5_coef object det_LT_entropy_log_6_coef object det_LT_entropy_log_7_coef object det_LT_entropy_log_8_coef object det_LT_entropy_log_9_coef object det_LT_entropy_log_10_coef object det_LT_TKEO_mean_1_coef object det_LT_TKEO_mean_2_coef object det_LT_TKEO_mean_3_coef object det_LT_TKEO_mean_4_coef object det_LT_TKEO_mean_5_coef object det_LT_TKEO_mean_6_coef object det_LT_TKEO_mean_7_coef object det_LT_TKEO_mean_8_coef object det_LT_TKEO_mean_9_coef object det_LT_TKEO_mean_10_coef object det_LT_TKEO_std_1_coef object det_LT_TKEO_std_2_coef object det_LT_TKEO_std_3_coef object det_LT_TKEO_std_4_coef object det_LT_TKEO_std_5_coef object det_LT_TKEO_std_6_coef object det_LT_TKEO_std_7_coef object det_LT_TKEO_std_8_coef object det_LT_TKEO_std_9_coef object det_LT_TKEO_std_10_coef object app_LT_entropy_shannon_1_coef object app_LT_entropy_shannon_2_coef object app_LT_entropy_shannon_3_coef object app_LT_entropy_shannon_4_coef object app_LT_entropy_shannon_5_coef object app_LT_entropy_shannon_6_coef object app_LT_entropy_shannon_7_coef object app_LT_entropy_shannon_8_coef object app_LT_entropy_shannon_9_coef object app_LT_entropy_shannon_10_coef object app_LT_entropy_log_1_coef object app_LT_entropy_log_2_coef object app_LT_entropy_log_3_coef object app_LT_entropy_log_4_coef object app_LT_entropy_log_5_coef object app_LT_entropy_log_6_coef object app_LT_entropy_log_7_coef object app_LT_entropy_log_8_coef object app_LT_entropy_log_9_coef object app_LT_entropy_log_10_coef object app_LT_TKEO_mean_1_coef object app_LT_TKEO_mean_2_coef object app_LT_TKEO_mean_3_coef object app_LT_TKEO_mean_4_coef object app_LT_TKEO_mean_5_coef object app_LT_TKEO_mean_6_coef object app_LT_TKEO_mean_7_coef object app_LT_TKEO_mean_8_coef object app_LT_TKEO_mean_9_coef object app_LT_TKEO_mean_10_coef object app_LT_TKEO_std_1_coef object app_LT_TKEO_std_2_coef object app_LT_TKEO_std_3_coef object app_LT_TKEO_std_4_coef object app_LT_TKEO_std_5_coef object app_LT_TKEO_std_6_coef object app_LT_TKEO_std_7_coef object app_LT_TKEO_std_8_coef object app_LT_TKEO_std_9_coef object app_LT_TKEO_std_10_coef object tqwt_energy_dec_1 object tqwt_energy_dec_2 object tqwt_energy_dec_3 object tqwt_energy_dec_4 object tqwt_energy_dec_5 object tqwt_energy_dec_6 object tqwt_energy_dec_7 object tqwt_energy_dec_8 object tqwt_energy_dec_9 object tqwt_energy_dec_10 object tqwt_energy_dec_11 object tqwt_energy_dec_12 object tqwt_energy_dec_13 object tqwt_energy_dec_14 object tqwt_energy_dec_15 object tqwt_energy_dec_16 object tqwt_energy_dec_17 object tqwt_energy_dec_18 object tqwt_energy_dec_19 object tqwt_energy_dec_20 object tqwt_energy_dec_21 object tqwt_energy_dec_22 object tqwt_energy_dec_23 object tqwt_energy_dec_24 object tqwt_energy_dec_25 object tqwt_energy_dec_26 object tqwt_energy_dec_27 object tqwt_energy_dec_28 object tqwt_energy_dec_29 object tqwt_energy_dec_30 object tqwt_energy_dec_31 object tqwt_energy_dec_32 object tqwt_energy_dec_33 object tqwt_energy_dec_34 object tqwt_energy_dec_35 object tqwt_energy_dec_36 object tqwt_entropy_shannon_dec_1 object tqwt_entropy_shannon_dec_2 object tqwt_entropy_shannon_dec_3 object tqwt_entropy_shannon_dec_4 object tqwt_entropy_shannon_dec_5 object tqwt_entropy_shannon_dec_6 object tqwt_entropy_shannon_dec_7 object tqwt_entropy_shannon_dec_8 object tqwt_entropy_shannon_dec_9 object tqwt_entropy_shannon_dec_10 object tqwt_entropy_shannon_dec_11 object tqwt_entropy_shannon_dec_12 object tqwt_entropy_shannon_dec_13 object tqwt_entropy_shannon_dec_14 object tqwt_entropy_shannon_dec_15 object tqwt_entropy_shannon_dec_16 object tqwt_entropy_shannon_dec_17 object tqwt_entropy_shannon_dec_18 object tqwt_entropy_shannon_dec_19 object tqwt_entropy_shannon_dec_20 object tqwt_entropy_shannon_dec_21 object tqwt_entropy_shannon_dec_22 object tqwt_entropy_shannon_dec_23 object tqwt_entropy_shannon_dec_24 object tqwt_entropy_shannon_dec_25 object tqwt_entropy_shannon_dec_26 object tqwt_entropy_shannon_dec_27 object tqwt_entropy_shannon_dec_28 object tqwt_entropy_shannon_dec_29 object tqwt_entropy_shannon_dec_30 object tqwt_entropy_shannon_dec_31 object tqwt_entropy_shannon_dec_32 object tqwt_entropy_shannon_dec_33 object tqwt_entropy_shannon_dec_34 object tqwt_entropy_shannon_dec_35 object tqwt_entropy_shannon_dec_36 object tqwt_entropy_log_dec_1 object tqwt_entropy_log_dec_2 object tqwt_entropy_log_dec_3 object tqwt_entropy_log_dec_4 object tqwt_entropy_log_dec_5 object tqwt_entropy_log_dec_6 object tqwt_entropy_log_dec_7 object tqwt_entropy_log_dec_8 object tqwt_entropy_log_dec_9 object tqwt_entropy_log_dec_10 object tqwt_entropy_log_dec_11 object tqwt_entropy_log_dec_12 object tqwt_entropy_log_dec_13 object tqwt_entropy_log_dec_14 object tqwt_entropy_log_dec_15 object tqwt_entropy_log_dec_16 object tqwt_entropy_log_dec_17 object tqwt_entropy_log_dec_18 object tqwt_entropy_log_dec_19 object tqwt_entropy_log_dec_20 object tqwt_entropy_log_dec_21 object tqwt_entropy_log_dec_22 object tqwt_entropy_log_dec_23 object tqwt_entropy_log_dec_24 object tqwt_entropy_log_dec_25 object tqwt_entropy_log_dec_26 object tqwt_entropy_log_dec_27 object tqwt_entropy_log_dec_28 object tqwt_entropy_log_dec_29 object tqwt_entropy_log_dec_30 object tqwt_entropy_log_dec_31 object tqwt_entropy_log_dec_32 object tqwt_entropy_log_dec_33 object tqwt_entropy_log_dec_34 object tqwt_entropy_log_dec_35 object tqwt_entropy_log_dec_36 object tqwt_TKEO_mean_dec_1 object tqwt_TKEO_mean_dec_2 object tqwt_TKEO_mean_dec_3 object tqwt_TKEO_mean_dec_4 object tqwt_TKEO_mean_dec_5 object tqwt_TKEO_mean_dec_6 object tqwt_TKEO_mean_dec_7 object tqwt_TKEO_mean_dec_8 object tqwt_TKEO_mean_dec_9 object tqwt_TKEO_mean_dec_10 object tqwt_TKEO_mean_dec_11 object tqwt_TKEO_mean_dec_12 object tqwt_TKEO_mean_dec_13 object tqwt_TKEO_mean_dec_14 object tqwt_TKEO_mean_dec_15 object tqwt_TKEO_mean_dec_16 object tqwt_TKEO_mean_dec_17 object tqwt_TKEO_mean_dec_18 object tqwt_TKEO_mean_dec_19 object tqwt_TKEO_mean_dec_20 object tqwt_TKEO_mean_dec_21 object tqwt_TKEO_mean_dec_22 object tqwt_TKEO_mean_dec_23 object tqwt_TKEO_mean_dec_24 object tqwt_TKEO_mean_dec_25 object tqwt_TKEO_mean_dec_26 object tqwt_TKEO_mean_dec_27 object tqwt_TKEO_mean_dec_28 object tqwt_TKEO_mean_dec_29 object tqwt_TKEO_mean_dec_30 object tqwt_TKEO_mean_dec_31 object tqwt_TKEO_mean_dec_32 object tqwt_TKEO_mean_dec_33 object tqwt_TKEO_mean_dec_34 object tqwt_TKEO_mean_dec_35 object tqwt_TKEO_mean_dec_36 object tqwt_TKEO_std_dec_1 object tqwt_TKEO_std_dec_2 object tqwt_TKEO_std_dec_3 object tqwt_TKEO_std_dec_4 object tqwt_TKEO_std_dec_5 object tqwt_TKEO_std_dec_6 object tqwt_TKEO_std_dec_7 object tqwt_TKEO_std_dec_8 object tqwt_TKEO_std_dec_9 object tqwt_TKEO_std_dec_10 object tqwt_TKEO_std_dec_11 object tqwt_TKEO_std_dec_12 object tqwt_TKEO_std_dec_13 object tqwt_TKEO_std_dec_14 object tqwt_TKEO_std_dec_15 object tqwt_TKEO_std_dec_16 object tqwt_TKEO_std_dec_17 object tqwt_TKEO_std_dec_18 object tqwt_TKEO_std_dec_19 object tqwt_TKEO_std_dec_20 object tqwt_TKEO_std_dec_21 object tqwt_TKEO_std_dec_22 object tqwt_TKEO_std_dec_23 object tqwt_TKEO_std_dec_24 object tqwt_TKEO_std_dec_25 object tqwt_TKEO_std_dec_26 object tqwt_TKEO_std_dec_27 object tqwt_TKEO_std_dec_28 object tqwt_TKEO_std_dec_29 object tqwt_TKEO_std_dec_30 object tqwt_TKEO_std_dec_31 object tqwt_TKEO_std_dec_32 object tqwt_TKEO_std_dec_33 object tqwt_TKEO_std_dec_34 object tqwt_TKEO_std_dec_35 object tqwt_TKEO_std_dec_36 object tqwt_medianValue_dec_1 object tqwt_medianValue_dec_2 object tqwt_medianValue_dec_3 object tqwt_medianValue_dec_4 object tqwt_medianValue_dec_5 object tqwt_medianValue_dec_6 object tqwt_medianValue_dec_7 object tqwt_medianValue_dec_8 object tqwt_medianValue_dec_9 object tqwt_medianValue_dec_10 object tqwt_medianValue_dec_11 object tqwt_medianValue_dec_12 object tqwt_medianValue_dec_13 object tqwt_medianValue_dec_14 object tqwt_medianValue_dec_15 object tqwt_medianValue_dec_16 object tqwt_medianValue_dec_17 object tqwt_medianValue_dec_18 object tqwt_medianValue_dec_19 object tqwt_medianValue_dec_20 object tqwt_medianValue_dec_21 object tqwt_medianValue_dec_22 object tqwt_medianValue_dec_23 object tqwt_medianValue_dec_24 object tqwt_medianValue_dec_25 object tqwt_medianValue_dec_26 object tqwt_medianValue_dec_27 object tqwt_medianValue_dec_28 object tqwt_medianValue_dec_29 object tqwt_medianValue_dec_30 object tqwt_medianValue_dec_31 object tqwt_medianValue_dec_32 object tqwt_medianValue_dec_33 object tqwt_medianValue_dec_34 object tqwt_medianValue_dec_35 object tqwt_medianValue_dec_36 object tqwt_meanValue_dec_1 object tqwt_meanValue_dec_2 object tqwt_meanValue_dec_3 object tqwt_meanValue_dec_4 object tqwt_meanValue_dec_5 object tqwt_meanValue_dec_6 object tqwt_meanValue_dec_7 object tqwt_meanValue_dec_8 object tqwt_meanValue_dec_9 object tqwt_meanValue_dec_10 object tqwt_meanValue_dec_11 object tqwt_meanValue_dec_12 object tqwt_meanValue_dec_13 object tqwt_meanValue_dec_14 object tqwt_meanValue_dec_15 object tqwt_meanValue_dec_16 object tqwt_meanValue_dec_17 object tqwt_meanValue_dec_18 object tqwt_meanValue_dec_19 object tqwt_meanValue_dec_20 object tqwt_meanValue_dec_21 object tqwt_meanValue_dec_22 object tqwt_meanValue_dec_23 object tqwt_meanValue_dec_24 object tqwt_meanValue_dec_25 object tqwt_meanValue_dec_26 object tqwt_meanValue_dec_27 object tqwt_meanValue_dec_28 object tqwt_meanValue_dec_29 object tqwt_meanValue_dec_30 object tqwt_meanValue_dec_31 object tqwt_meanValue_dec_32 object tqwt_meanValue_dec_33 object tqwt_meanValue_dec_34 object tqwt_meanValue_dec_35 object tqwt_meanValue_dec_36 object tqwt_stdValue_dec_1 object tqwt_stdValue_dec_2 object tqwt_stdValue_dec_3 object tqwt_stdValue_dec_4 object tqwt_stdValue_dec_5 object tqwt_stdValue_dec_6 object tqwt_stdValue_dec_7 object tqwt_stdValue_dec_8 object tqwt_stdValue_dec_9 object tqwt_stdValue_dec_10 object tqwt_stdValue_dec_11 object tqwt_stdValue_dec_12 object tqwt_stdValue_dec_13 object tqwt_stdValue_dec_14 object tqwt_stdValue_dec_15 object tqwt_stdValue_dec_16 object tqwt_stdValue_dec_17 object tqwt_stdValue_dec_18 object tqwt_stdValue_dec_19 object tqwt_stdValue_dec_20 object tqwt_stdValue_dec_21 object tqwt_stdValue_dec_22 object tqwt_stdValue_dec_23 object tqwt_stdValue_dec_24 object tqwt_stdValue_dec_25 object tqwt_stdValue_dec_26 object tqwt_stdValue_dec_27 object tqwt_stdValue_dec_28 object tqwt_stdValue_dec_29 object tqwt_stdValue_dec_30 object tqwt_stdValue_dec_31 object tqwt_stdValue_dec_32 object tqwt_stdValue_dec_33 object tqwt_stdValue_dec_34 object tqwt_stdValue_dec_35 object tqwt_stdValue_dec_36 object tqwt_minValue_dec_1 object tqwt_minValue_dec_2 object tqwt_minValue_dec_3 object tqwt_minValue_dec_4 object tqwt_minValue_dec_5 object tqwt_minValue_dec_6 object tqwt_minValue_dec_7 object tqwt_minValue_dec_8 object tqwt_minValue_dec_9 object tqwt_minValue_dec_10 object tqwt_minValue_dec_11 object tqwt_minValue_dec_12 object tqwt_minValue_dec_13 object tqwt_minValue_dec_14 object tqwt_minValue_dec_15 object tqwt_minValue_dec_16 object tqwt_minValue_dec_17 object tqwt_minValue_dec_18 object tqwt_minValue_dec_19 object tqwt_minValue_dec_20 object tqwt_minValue_dec_21 object tqwt_minValue_dec_22 object tqwt_minValue_dec_23 object tqwt_minValue_dec_24 object tqwt_minValue_dec_25 object tqwt_minValue_dec_26 object tqwt_minValue_dec_27 object tqwt_minValue_dec_28 object tqwt_minValue_dec_29 object tqwt_minValue_dec_30 object tqwt_minValue_dec_31 object tqwt_minValue_dec_32 object tqwt_minValue_dec_33 object tqwt_minValue_dec_34 object tqwt_minValue_dec_35 object tqwt_minValue_dec_36 object tqwt_maxValue_dec_1 object tqwt_maxValue_dec_2 object tqwt_maxValue_dec_3 object tqwt_maxValue_dec_4 object tqwt_maxValue_dec_5 object tqwt_maxValue_dec_6 object tqwt_maxValue_dec_7 object tqwt_maxValue_dec_8 object tqwt_maxValue_dec_9 object tqwt_maxValue_dec_10 object tqwt_maxValue_dec_11 object tqwt_maxValue_dec_12 object tqwt_maxValue_dec_13 object tqwt_maxValue_dec_14 object tqwt_maxValue_dec_15 object tqwt_maxValue_dec_16 object tqwt_maxValue_dec_17 object tqwt_maxValue_dec_18 object tqwt_maxValue_dec_19 object tqwt_maxValue_dec_20 object tqwt_maxValue_dec_21 object tqwt_maxValue_dec_22 object tqwt_maxValue_dec_23 object tqwt_maxValue_dec_24 object tqwt_maxValue_dec_25 object tqwt_maxValue_dec_26 object tqwt_maxValue_dec_27 object tqwt_maxValue_dec_28 object tqwt_maxValue_dec_29 object tqwt_maxValue_dec_30 object tqwt_maxValue_dec_31 object tqwt_maxValue_dec_32 object tqwt_maxValue_dec_33 object tqwt_maxValue_dec_34 object tqwt_maxValue_dec_35 object tqwt_maxValue_dec_36 object tqwt_skewnessValue_dec_1 object tqwt_skewnessValue_dec_2 object tqwt_skewnessValue_dec_3 object tqwt_skewnessValue_dec_4 object tqwt_skewnessValue_dec_5 object tqwt_skewnessValue_dec_6 object tqwt_skewnessValue_dec_7 object tqwt_skewnessValue_dec_8 object tqwt_skewnessValue_dec_9 object tqwt_skewnessValue_dec_10 object tqwt_skewnessValue_dec_11 object tqwt_skewnessValue_dec_12 object tqwt_skewnessValue_dec_13 object tqwt_skewnessValue_dec_14 object tqwt_skewnessValue_dec_15 object tqwt_skewnessValue_dec_16 object tqwt_skewnessValue_dec_17 object tqwt_skewnessValue_dec_18 object tqwt_skewnessValue_dec_19 object tqwt_skewnessValue_dec_20 object tqwt_skewnessValue_dec_21 object tqwt_skewnessValue_dec_22 object tqwt_skewnessValue_dec_23 object tqwt_skewnessValue_dec_24 object tqwt_skewnessValue_dec_25 object tqwt_skewnessValue_dec_26 object tqwt_skewnessValue_dec_27 object tqwt_skewnessValue_dec_28 object tqwt_skewnessValue_dec_29 object tqwt_skewnessValue_dec_30 object tqwt_skewnessValue_dec_31 object tqwt_skewnessValue_dec_32 object tqwt_skewnessValue_dec_33 object tqwt_skewnessValue_dec_34 object tqwt_skewnessValue_dec_35 object tqwt_skewnessValue_dec_36 object tqwt_kurtosisValue_dec_1 object tqwt_kurtosisValue_dec_2 object tqwt_kurtosisValue_dec_3 object tqwt_kurtosisValue_dec_4 object tqwt_kurtosisValue_dec_5 object tqwt_kurtosisValue_dec_6 object tqwt_kurtosisValue_dec_7 object tqwt_kurtosisValue_dec_8 object tqwt_kurtosisValue_dec_9 object tqwt_kurtosisValue_dec_10 object tqwt_kurtosisValue_dec_11 object tqwt_kurtosisValue_dec_12 object tqwt_kurtosisValue_dec_13 object tqwt_kurtosisValue_dec_14 object tqwt_kurtosisValue_dec_15 object tqwt_kurtosisValue_dec_16 object tqwt_kurtosisValue_dec_17 object tqwt_kurtosisValue_dec_18 object tqwt_kurtosisValue_dec_19 object tqwt_kurtosisValue_dec_20 object tqwt_kurtosisValue_dec_21 object tqwt_kurtosisValue_dec_22 object tqwt_kurtosisValue_dec_23 object tqwt_kurtosisValue_dec_24 object tqwt_kurtosisValue_dec_25 object tqwt_kurtosisValue_dec_26 object tqwt_kurtosisValue_dec_27 object tqwt_kurtosisValue_dec_28 object tqwt_kurtosisValue_dec_29 object tqwt_kurtosisValue_dec_30 object tqwt_kurtosisValue_dec_31 object tqwt_kurtosisValue_dec_32 object tqwt_kurtosisValue_dec_33 object tqwt_kurtosisValue_dec_34 object tqwt_kurtosisValue_dec_35 object tqwt_kurtosisValue_dec_36 object class object dtype: object
df = df.drop('id', axis = 1)
df.head(4)
| gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | det_LT_entropy_shannon_9_coef | det_LT_entropy_shannon_10_coef | det_LT_entropy_log_1_coef | det_LT_entropy_log_2_coef | det_LT_entropy_log_3_coef | det_LT_entropy_log_4_coef | det_LT_entropy_log_5_coef | det_LT_entropy_log_6_coef | det_LT_entropy_log_7_coef | det_LT_entropy_log_8_coef | det_LT_entropy_log_9_coef | det_LT_entropy_log_10_coef | det_LT_TKEO_mean_1_coef | det_LT_TKEO_mean_2_coef | det_LT_TKEO_mean_3_coef | det_LT_TKEO_mean_4_coef | det_LT_TKEO_mean_5_coef | det_LT_TKEO_mean_6_coef | det_LT_TKEO_mean_7_coef | det_LT_TKEO_mean_8_coef | det_LT_TKEO_mean_9_coef | det_LT_TKEO_mean_10_coef | det_LT_TKEO_std_1_coef | det_LT_TKEO_std_2_coef | det_LT_TKEO_std_3_coef | det_LT_TKEO_std_4_coef | det_LT_TKEO_std_5_coef | det_LT_TKEO_std_6_coef | det_LT_TKEO_std_7_coef | det_LT_TKEO_std_8_coef | det_LT_TKEO_std_9_coef | det_LT_TKEO_std_10_coef | app_LT_entropy_shannon_1_coef | app_LT_entropy_shannon_2_coef | app_LT_entropy_shannon_3_coef | app_LT_entropy_shannon_4_coef | app_LT_entropy_shannon_5_coef | app_LT_entropy_shannon_6_coef | app_LT_entropy_shannon_7_coef | app_LT_entropy_shannon_8_coef | app_LT_entropy_shannon_9_coef | app_LT_entropy_shannon_10_coef | app_LT_entropy_log_1_coef | app_LT_entropy_log_2_coef | app_LT_entropy_log_3_coef | app_LT_entropy_log_4_coef | app_LT_entropy_log_5_coef | app_LT_entropy_log_6_coef | app_LT_entropy_log_7_coef | app_LT_entropy_log_8_coef | app_LT_entropy_log_9_coef | app_LT_entropy_log_10_coef | app_LT_TKEO_mean_1_coef | app_LT_TKEO_mean_2_coef | app_LT_TKEO_mean_3_coef | app_LT_TKEO_mean_4_coef | app_LT_TKEO_mean_5_coef | app_LT_TKEO_mean_6_coef | app_LT_TKEO_mean_7_coef | app_LT_TKEO_mean_8_coef | app_LT_TKEO_mean_9_coef | app_LT_TKEO_mean_10_coef | app_LT_TKEO_std_1_coef | app_LT_TKEO_std_2_coef | app_LT_TKEO_std_3_coef | app_LT_TKEO_std_4_coef | app_LT_TKEO_std_5_coef | app_LT_TKEO_std_6_coef | app_LT_TKEO_std_7_coef | app_LT_TKEO_std_8_coef | app_LT_TKEO_std_9_coef | app_LT_TKEO_std_10_coef | tqwt_energy_dec_1 | tqwt_energy_dec_2 | tqwt_energy_dec_3 | tqwt_energy_dec_4 | tqwt_energy_dec_5 | tqwt_energy_dec_6 | tqwt_energy_dec_7 | tqwt_energy_dec_8 | tqwt_energy_dec_9 | tqwt_energy_dec_10 | tqwt_energy_dec_11 | tqwt_energy_dec_12 | tqwt_energy_dec_13 | tqwt_energy_dec_14 | tqwt_energy_dec_15 | tqwt_energy_dec_16 | tqwt_energy_dec_17 | tqwt_energy_dec_18 | tqwt_energy_dec_19 | tqwt_energy_dec_20 | tqwt_energy_dec_21 | tqwt_energy_dec_22 | tqwt_energy_dec_23 | tqwt_energy_dec_24 | tqwt_energy_dec_25 | tqwt_energy_dec_26 | tqwt_energy_dec_27 | tqwt_energy_dec_28 | tqwt_energy_dec_29 | tqwt_energy_dec_30 | tqwt_energy_dec_31 | tqwt_energy_dec_32 | tqwt_energy_dec_33 | tqwt_energy_dec_34 | tqwt_energy_dec_35 | tqwt_energy_dec_36 | tqwt_entropy_shannon_dec_1 | tqwt_entropy_shannon_dec_2 | tqwt_entropy_shannon_dec_3 | tqwt_entropy_shannon_dec_4 | tqwt_entropy_shannon_dec_5 | tqwt_entropy_shannon_dec_6 | tqwt_entropy_shannon_dec_7 | tqwt_entropy_shannon_dec_8 | tqwt_entropy_shannon_dec_9 | tqwt_entropy_shannon_dec_10 | tqwt_entropy_shannon_dec_11 | tqwt_entropy_shannon_dec_12 | tqwt_entropy_shannon_dec_13 | tqwt_entropy_shannon_dec_14 | tqwt_entropy_shannon_dec_15 | tqwt_entropy_shannon_dec_16 | tqwt_entropy_shannon_dec_17 | tqwt_entropy_shannon_dec_18 | tqwt_entropy_shannon_dec_19 | tqwt_entropy_shannon_dec_20 | tqwt_entropy_shannon_dec_21 | tqwt_entropy_shannon_dec_22 | tqwt_entropy_shannon_dec_23 | tqwt_entropy_shannon_dec_24 | tqwt_entropy_shannon_dec_25 | tqwt_entropy_shannon_dec_26 | tqwt_entropy_shannon_dec_27 | tqwt_entropy_shannon_dec_28 | tqwt_entropy_shannon_dec_29 | tqwt_entropy_shannon_dec_30 | tqwt_entropy_shannon_dec_31 | tqwt_entropy_shannon_dec_32 | tqwt_entropy_shannon_dec_33 | tqwt_entropy_shannon_dec_34 | tqwt_entropy_shannon_dec_35 | tqwt_entropy_shannon_dec_36 | tqwt_entropy_log_dec_1 | tqwt_entropy_log_dec_2 | tqwt_entropy_log_dec_3 | tqwt_entropy_log_dec_4 | tqwt_entropy_log_dec_5 | tqwt_entropy_log_dec_6 | tqwt_entropy_log_dec_7 | tqwt_entropy_log_dec_8 | tqwt_entropy_log_dec_9 | tqwt_entropy_log_dec_10 | tqwt_entropy_log_dec_11 | tqwt_entropy_log_dec_12 | tqwt_entropy_log_dec_13 | tqwt_entropy_log_dec_14 | tqwt_entropy_log_dec_15 | tqwt_entropy_log_dec_16 | tqwt_entropy_log_dec_17 | tqwt_entropy_log_dec_18 | tqwt_entropy_log_dec_19 | tqwt_entropy_log_dec_20 | tqwt_entropy_log_dec_21 | tqwt_entropy_log_dec_22 | tqwt_entropy_log_dec_23 | tqwt_entropy_log_dec_24 | tqwt_entropy_log_dec_25 | tqwt_entropy_log_dec_26 | tqwt_entropy_log_dec_27 | tqwt_entropy_log_dec_28 | tqwt_entropy_log_dec_29 | tqwt_entropy_log_dec_30 | tqwt_entropy_log_dec_31 | tqwt_entropy_log_dec_32 | tqwt_entropy_log_dec_33 | tqwt_entropy_log_dec_34 | tqwt_entropy_log_dec_35 | tqwt_entropy_log_dec_36 | tqwt_TKEO_mean_dec_1 | tqwt_TKEO_mean_dec_2 | tqwt_TKEO_mean_dec_3 | tqwt_TKEO_mean_dec_4 | tqwt_TKEO_mean_dec_5 | tqwt_TKEO_mean_dec_6 | tqwt_TKEO_mean_dec_7 | tqwt_TKEO_mean_dec_8 | tqwt_TKEO_mean_dec_9 | tqwt_TKEO_mean_dec_10 | tqwt_TKEO_mean_dec_11 | tqwt_TKEO_mean_dec_12 | tqwt_TKEO_mean_dec_13 | tqwt_TKEO_mean_dec_14 | tqwt_TKEO_mean_dec_15 | tqwt_TKEO_mean_dec_16 | tqwt_TKEO_mean_dec_17 | tqwt_TKEO_mean_dec_18 | tqwt_TKEO_mean_dec_19 | tqwt_TKEO_mean_dec_20 | tqwt_TKEO_mean_dec_21 | tqwt_TKEO_mean_dec_22 | tqwt_TKEO_mean_dec_23 | tqwt_TKEO_mean_dec_24 | tqwt_TKEO_mean_dec_25 | tqwt_TKEO_mean_dec_26 | tqwt_TKEO_mean_dec_27 | tqwt_TKEO_mean_dec_28 | tqwt_TKEO_mean_dec_29 | tqwt_TKEO_mean_dec_30 | tqwt_TKEO_mean_dec_31 | tqwt_TKEO_mean_dec_32 | tqwt_TKEO_mean_dec_33 | tqwt_TKEO_mean_dec_34 | tqwt_TKEO_mean_dec_35 | tqwt_TKEO_mean_dec_36 | tqwt_TKEO_std_dec_1 | tqwt_TKEO_std_dec_2 | tqwt_TKEO_std_dec_3 | tqwt_TKEO_std_dec_4 | tqwt_TKEO_std_dec_5 | tqwt_TKEO_std_dec_6 | tqwt_TKEO_std_dec_7 | tqwt_TKEO_std_dec_8 | tqwt_TKEO_std_dec_9 | tqwt_TKEO_std_dec_10 | tqwt_TKEO_std_dec_11 | tqwt_TKEO_std_dec_12 | tqwt_TKEO_std_dec_13 | tqwt_TKEO_std_dec_14 | tqwt_TKEO_std_dec_15 | tqwt_TKEO_std_dec_16 | tqwt_TKEO_std_dec_17 | tqwt_TKEO_std_dec_18 | tqwt_TKEO_std_dec_19 | tqwt_TKEO_std_dec_20 | tqwt_TKEO_std_dec_21 | tqwt_TKEO_std_dec_22 | tqwt_TKEO_std_dec_23 | tqwt_TKEO_std_dec_24 | tqwt_TKEO_std_dec_25 | tqwt_TKEO_std_dec_26 | tqwt_TKEO_std_dec_27 | tqwt_TKEO_std_dec_28 | tqwt_TKEO_std_dec_29 | tqwt_TKEO_std_dec_30 | tqwt_TKEO_std_dec_31 | tqwt_TKEO_std_dec_32 | tqwt_TKEO_std_dec_33 | tqwt_TKEO_std_dec_34 | tqwt_TKEO_std_dec_35 | tqwt_TKEO_std_dec_36 | tqwt_medianValue_dec_1 | tqwt_medianValue_dec_2 | tqwt_medianValue_dec_3 | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0.85247 | 0.71826 | 0.57227 | 240 | 239 | 0.00806353 | 8.68E-05 | 0.00218 | 1.76E-05 | 0.00067 | 0.00129 | 0.002 | 0.05883 | 0.517 | 0.03011 | 0.03496 | 0.04828 | 0.09034 | 0.970805 | 0.036223 | 18.995 | 69.9974958 | 76.08804597 | 72.46551224 | 539.3427351 | 1031.84904 | 2447.162183 | 3655.054806 | 101.0922179 | 83.14744022 | 255.21483 | 396.6436311 | 0.77778 | 11.7245 | 2.8277 | 1.173 | 0.26512 | 0.083127 | 1200445.612 | 1.5347 | 3.0152 | 0.00046263 | 0.00025997 | 0.83621 | 209.6062 | 455.9654 | 1.2825 | 1.3305 | 51.6843 | 5.7784 | 23.261 | 0.2685 | 5.8573 | 0.20023 | 9.1817 | 11.4283 | 8.4781 | 2.4874 | 0.02292 | 0.55527 | -1.6334 | -1.5144 | 0.39725 | 0.61775 | 0.091821 | 0.54775 | -0.0068247 | -0.67274 | -0.001013 | -7.50E-05 | -0.0033637 | -0.00019208 | 0.0013567 | -0.00089961 | -0.003002 | 0.0015484 | 0.0051873 | -0.00020542 | -0.0047367 | 0.0024652 | 0.0025138 | -0.0011875 | -0.00017942 | -0.00082784 | -0.00049845 | 0.0013855 | 0.00017264 | -0.00028585 | 0.00042833 | -4.41E-05 | -0.00033822 | 0.00043047 | 3.83E-05 | -0.00035615 | -7.62E-05 | 2.66E-05 | 0.34158 | 1.0279 | 0.65735 | 0.78036 | 0.30141 | 0.35418 | 0.19127 | 0.22892 | 0.3355 | 0.17101 | 0.28111 | 0.21511 | 0.16605 | 0.17762 | 0.049933 | 0.17226 | 0.089754 | 0.14627 | 0.040231 | 0.060808 | 0.030284 | 0.02883 | 0.042253 | 0.028115 | 0.04718 | 0.035775 | 0.020827 | 0.023057 | 0.016392 | 0.0788 | 0.043847 | 0.06641 | 0.021565 | 0.029594 | 0.015351 | 0.014642 | 0.019681 | 0.012829 | 0.021703 | 0.017089 | 0.010043 | 0.01213 | 99.9996 | 1.53E-07 | 8.86E-07 | 7.43E-06 | 2.10E-05 | 0.00010224 | 1.31E-05 | 4.06E-05 | 2.69E-05 | 1.04E-05 | 0.00020186 | 1.7166 | 5.5625 | 0.04894 | -72.2192 | -866.9373 | -54.5335 | -319.9468 | -165.257 | -42.9705 | -2336.3644 | -779.1377 | -290.208 | -78.3447 | -10.7944 | 10.5089 | -46.3816 | -35.9347 | -46.8515 | -31.2923 | -18.7456 | 0.0024859 | 0.02815 | 0.32455 | 1.5948 | 7.7828 | 2.3013 | 5.6628 | 3.5683 | 2.0302 | 44.7582 | 0.005012 | 0.046228 | 0.68635 | 3.5072 | 26.1213 | 3.7358 | 15.283 | 9.2028 | 4.7887 | 89.767 | -34415952.86 | -41505780.29 | -54991273 | -79779216.69 | -129684181.7 | -232253303.7 | -459058057.8 | -902118385.7 | -1886558836 | -3937753319 | 1116.2921 | 672.8105 | 445.4876 | 322.8542 | 262.2272 | 234.6861 | 231.969 | 227.8718 | 238.269 | 248.6663 | 572.1636 | 2023.8169 | 6477.7714 | 18923.0837 | 49173.8993 | 115701.9285 | 245931.5887 | 524800.1114 | 1049747.089 | 2101636.245 | 4181.8549 | 11092.1222 | 27917.7341 | 67151.7571 | 151463.1285 | 326874.1892 | 672089.5253 | 1381934.183 | 2777808.879 | 5547195.189 | 100 | 6.59E-09 | 3.86E-08 | 3.25E-07 | 9.05E-07 | 4.39E-06 | 5.71E-07 | 1.73E-06 | 1.15E-06 | 4.50E-07 | 8.71E-06 | 0.00033833 | 0.0016911 | 0.011168 | 0.026503 | 0.095478 | 0.01607 | 0.039222 | 0.029105 | 0.012719 | 0.14851 | -1820.192 | -871.5514 | -446.3217 | -261.8311 | -182.3583 | -210.734 | -190.3697 | -192.1166 | -175.6679 | -163.4186 | 1.62E-07 | 1.85E-06 | 2.15E-05 | 0.00010395 | 0.00050042 | 0.00015082 | 0.00036353 | 0.00022942 | 0.00013184 | 0.0029043 | 3.25E-07 | 3.04E-06 | 4.55E-05 | 0.00022608 | 0.0016888 | 0.00024467 | 0.00098152 | 0.0005974 | 0.00031087 | 0.0058211 | -19278.0371 | -25711.8622 | -36938.137 | -57264.6625 | -98433.1856 | -184901.7535 | -381059.351 | -776445.2329 | -1676725.978 | -3601122.613 | 414.6434 | 276.485 | 198.5803 | 153.8978 | 132.2489 | 124.1971 | 127.9812 | 130.3804 | 140.7776 | 151.1748 | 0.86121 | 3.0487 | 9.7825 | 28.5949 | 74.3411 | 174.9214 | 371.7296 | 793.068 | 1586.1824 | 3173.0448 | 6.299 | 16.7003 | 42.0762 | 101.0889 | 228.8489 | 493.8563 | 1015.7707 | 2091.946 | 4188.2456 | 8373.9278 | 1.11E-05 | 3.98E-06 | 4.92E-06 | 3.54E-06 | 7.19E-06 | 3.87E-05 | 0.00016363 | 0.0003761 | 0.00039246 | 0.0004061 | 0.00041458 | 0.00023899 | 0.0019048 | 0.012066 | 0.029439 | 0.037555 | 0.089055 | 0.17728 | 0.13122 | 0.051588 | 0.019785 | 0.05609 | 0.12525 | 0.057908 | 0.01007 | 0.057575 | 0.10807 | 0.032743 | 0.00025665 | 1.33E-05 | 6.75E-06 | 2.75E-06 | 2.04E-06 | 1.67E-06 | 1.11E-06 | 5.35E-05 | 0.20497 | 0.076626 | 0.091515 | 0.066105 | 0.12716 | 0.59587 | 2.1832 | 4.5851 | 4.6877 | 4.8635 | 4.884 | 2.818 | 18.8625 | 89.7525 | 174.692 | 189.5 | 360.7126 | 541.6719 | 422.8302 | 225.6461 | 99.3648 | 214.7895 | 337.8141 | 201.3841 | 53.7314 | 178.7287 | 230.2402 | 111.0346 | 2.2372 | 0.15901 | 0.083824 | 0.036109 | 0.027414 | 0.023151 | 0.015562 | 0.55112 | -2037542.225 | -1802551.782 | -1485424.634 | -1245979.172 | -991083.9631 | -745188.5092 | -560498.2903 | -432705.197 | -352797.2473 | -281439.269 | -229943.2967 | -201985.0408 | -127736.2777 | -83962.4084 | -62201.7084 | -52209.7866 | -34671.0477 | -23650.0278 | -20345.6618 | -18507.9939 | -19238.3429 | -11545.4036 | -7369.2484 | -7030.0263 | -8442.5303 | -4459.3054 | -2800.8383 | -3160.3491 | -6399.2202 | -7011.7391 | -6228.1902 | -5536.5796 | -4540.083 | -3726.2679 | -3190.1752 | -2528.9188 | 1.61E-07 | 7.56E-08 | 1.35E-07 | 9.89E-08 | 1.67E-07 | 1.13E-06 | 6.78E-06 | 2.44E-05 | 2.95E-05 | 3.58E-05 | 5.03E-05 | 2.33E-05 | 0.00012787 | 0.0017165 | 0.0069193 | 0.008643 | 0.023558 | 0.074782 | 0.064414 | 0.030886 | 0.010913 | 0.032924 | 0.13939 | 0.069247 | 0.00481 | 0.07756 | 0.25704 | 0.073123 | 0.00040142 | 4.43E-05 | 2.98E-05 | 1.30E-05 | 1.22E-05 | 1.26E-05 | 1.01E-05 | 1.44E-05 | 9.97E-07 | 4.14E-07 | 5.22E-07 | 6.11E-07 | 8.58E-07 | 2.53E-06 | 1.50E-05 | 4.83E-05 | 5.90E-05 | 5.87E-05 | 7.36E-05 | 5.90E-05 | 0.00018979 | 0.0012918 | 0.0065317 | 0.013296 | 0.02762 | 0.071125 | 0.063262 | 0.020787 | 0.01234 | 0.027799 | 0.080709 | 0.032363 | 0.0092097 | 0.024016 | 0.050924 | 0.017784 | 0.0004321 | 6.20E-05 | 4.36E-05 | 2.30E-05 | 1.77E-05 | 1.23E-05 | 9.74E-06 | 0.00011957 | 8.19E-07 | 2.37E-07 | 5.77E-20 | 2.84E-07 | 0 | 9.30E-07 | -1.27E-07 | -1.41E-18 | 9.16E-06 | -1.71E-06 | -3.10E-05 | -9.93E-19 | -5.56E-18 | 0.00056006 | 1.03E-05 | 0 | 0 | -6.10E-17 | -0.00038921 | 0 | 3.81E-17 | 6.15E-17 | 6.74E-17 | 0 | 0 | -2.22E-17 | -0.013372 | 0.056236 | 0.0004446 | 2.85E-19 | 0.00014027 | -8.36E-05 | -0.00016867 | -0.00020162 | -4.27E-05 | -0.01432 | -2.89E-21 | -3.77E-21 | 1.70E-22 | -9.18E-22 | -3.98E-22 | -2.86E-21 | -3.52E-22 | 1.06E-21 | 1.23E-20 | -1.36E-20 | -1.63E-20 | -2.63E-21 | 1.84E-21 | 1.34E-19 | -2.65E-20 | 1.82E-21 | 9.60E-20 | -7.50E-20 | -1.06E-18 | 7.54E-21 | -6.33E-20 | -1.25E-18 | -1.90E-18 | -2.42E-19 | 9.38E-20 | -7.21E-19 | 1.84E-18 | -1.85E-18 | -7.29E-21 | 2.04E-20 | 0 | 6.53E-20 | -2.02E-20 | 7.96E-20 | 1.87E-20 | -0.01461 | 0.00034139 | 0.00022424 | 0.00027317 | 0.00025393 | 0.00039625 | 0.0010075 | 0.0022682 | 0.003767 | 0.0042153 | 0.0046972 | 0.0051989 | 0.0043241 | 0.013373 | 0.036869 | 0.063087 | 0.078064 | 0.13169 | 0.20354 | 0.1918 | 0.13177 | 0.089375 | 0.16487 | 0.26991 | 0.20099 | 0.091819 | 0.24065 | 0.36097 | 0.21776 | 0.021112 | 0.0052758 | 0.0041096 | 0.0028762 | 0.0027106 | 0.0026957 | 0.0024093 | 0.0029658 | -0.0096443 | -0.005025 | -0.0064911 | -0.006014 | -0.0085182 | -0.0092406 | -0.016506 | -0.026006 | -0.026273 | -0.02416 | -0.026321 | -0.024286 | -0.048924 | -0.10839 | -0.19432 | -0.29603 | -0.46639 | -0.61778 | -0.596 | -0.32867 | -0.26301 | -0.44541 | -0.66075 | -0.45846 | -0.2454 | -0.45883 | -0.65524 | -0.36007 | -0.060063 | -0.017824 | -0.013598 | -0.012346 | -0.009196 | -0.0069326 | -0.006569 | -0.035389 | 0.01432 | 0.0066623 | 0.0064911 | 0.0074746 | 0.0085182 | 0.0094429 | 0.01609 | 0.026006 | 0.028117 | 0.025222 | 0.022796 | 0.024286 | 0.048924 | 0.10575 | 0.20486 | 0.29603 | 0.46639 | 0.61778 | 0.59309 | 0.32867 | 0.26301 | 0.44541 | 0.66075 | 0.45846 | 0.2454 | 0.45883 | 0.64375 | 0.39877 | 0.056849 | 0.017824 | 0.014505 | 0.0084926 | 0.009728 | 0.0067535 | 0.0060726 | -0.0090458 | 0.86453 | 0.43538 | 1.11E-15 | 0.36745 | 0 | -0.0043099 | -0.0053825 | -1.11E-17 | -0.00082879 | 0.0016047 | -0.00036202 | 1.01E-15 | -5.85E-17 | -0.0031426 | 0.0074332 | 1.51E-17 | 2.21E-17 | -9.37E-18 | 0.0007342 | -4.33E-18 | -4.47E-17 | -1.39E-17 | -3.50E-17 | -4.29E-19 | -9.66E-18 | -1.66E-17 | 0.00011457 | -0.1029 | 0.030756 | 7.07E-17 | -0.086911 | -0.28507 | -0.17362 | 0.071728 | 0.010352 | -2.7303 | 66.5007 | 36.9934 | 26.3508 | 51.9577 | 21.5451 | 8.2488 | 8.0024 | 6.9635 | 6.9189 | 5.0622 | 4.6068 | 7.7218 | 2.7224 | 2.4171 | 2.9383 | 4.2077 | 3.1541 | 2.8531 | 2.7496 | 2.155 | 2.9457 | 2.1993 | 1.983 | 1.8314 | 2.0062 | 1.6058 | 1.5466 | 1.562 | 2.6445 | 3.8686 | 4.2105 | 5.1221 | 4.4625 | 2.6202 | 3.0004 | 18.9405 | 1 |
| 2 | 1 | 0.76686 | 0.69481 | 0.53966 | 234 | 233 | 0.008258256 | 7.31E-05 | 0.00195 | 1.61E-05 | 0.00052 | 0.00112 | 0.00157 | 0.05516 | 0.502 | 0.0232 | 0.03675 | 0.06195 | 0.06961 | 0.984322 | 0.017974 | 21.497 | 67.41590313 | 73.04637365 | 71.52894525 | 564.3636145 | 1016.367294 | 2383.565201 | 3498.681572 | 58.4654278 | 86.48729245 | 248.3571266 | 218.2297224 | 0.8125 | 13.8284 | 2.8908 | 1.0221 | 0.22004 | 0.12741 | 1298455.445 | 1.6029 | 3.06 | 0.00061483 | 0.00029472 | 1.0455 | 243.0816 | 379.8429 | 1.3063 | 1.3177 | 24.023 | 6.7916 | 21.8851 | 0.26839 | 6.2366 | 0.20336 | 9.6074 | 12.1387 | 8.5008 | 2.8986 | -0.46733 | 0.45984 | -1.3427 | -1.6759 | 0.17695 | 0.72944 | 0.2361 | 0.54722 | 0.057552 | -0.39555 | -0.001849 | -0.0027 | -0.0026392 | 0.0029153 | -0.0011785 | -0.00077655 | 0.0019941 | -0.00011016 | -0.00064985 | 0.0025287 | -0.00035422 | -0.0029854 | 0.0014515 | 0.0025048 | 0.00048375 | -1.24E-05 | 0.0013862 | -0.00071687 | -0.0013664 | 0.00016261 | -0.00024127 | -0.00061406 | -0.00011168 | -7.23E-05 | 0.00025242 | 0.00026005 | 0.00069057 | -0.00010879 | 0.22994 | 0.92018 | 0.53349 | 0.65764 | 0.30758 | 0.38678 | 0.16571 | 0.2964 | 0.22642 | 0.16785 | 0.21342 | 0.22222 | 0.20581 | 0.2303 | 0.037774 | 0.17047 | 0.072764 | 0.15165 | 0.045076 | 0.076312 | 0.025376 | 0.050259 | 0.037071 | 0.022166 | 0.039071 | 0.030383 | 0.03236 | 0.032486 | 0.014222 | 0.087125 | 0.036786 | 0.077256 | 0.024058 | 0.038709 | 0.012191 | 0.0255 | 0.019374 | 0.010645 | 0.020296 | 0.015389 | 0.015488 | 0.016128 | 99.9998 | 1.68E-07 | 1.23E-06 | 1.24E-05 | 3.11E-05 | 4.63E-05 | 3.64E-05 | 5.37E-06 | 7.38E-05 | 9.34E-06 | 1.28E-05 | 1.7545 | 5.9143 | -13.8866 | -114.6049 | -273.5543 | -210.4995 | -14.093 | -650.1035 | -35.8525 | -53.2382 | -758.8078 | -287.4139 | -56.9104 | -2.2495 | -6.0268 | -20.4266 | -55.9988 | -29.473 | -33.8478 | -22.4413 | 0.0036667 | 0.046661 | 0.85597 | 3.717 | 6.0722 | 5.1009 | 0.93367 | 17.5875 | 1.3738 | 1.8125 | 0.0093482 | 0.078964 | 1.3254 | 3.7067 | 11.787 | 9.262 | 2.2562 | 31.7893 | 3.2381 | 3.8258 | -32588713.93 | -39329560.14 | -52167450.85 | -75736302.45 | -123243056.6 | -220947833.1 | -437011684.1 | -859038700.4 | -1796705970 | -3750669277 | 1110.9296 | 669.803 | 443.6442 | 321.604 | 261.2809 | 233.8954 | 231.2326 | 227.1834 | 237.5807 | 247.9779 | 545.9031 | 1936.8183 | 6203.4329 | 18157.1896 | 47222.6429 | 111142.9462 | 236033.1031 | 502899.2766 | 1005892.96 | 2012043.365 | 3990.8171 | 10580.7939 | 26814.5173 | 63969.6745 | 145371.1558 | 314467.5684 | 642734.4635 | 1327168.357 | 2654568.33 | 5309694.85 | 100 | 7.30E-09 | 5.39E-08 | 5.40E-07 | 1.36E-06 | 2.04E-06 | 1.60E-06 | 2.37E-07 | 3.26E-06 | 4.11E-07 | 5.66E-07 | 0.00036727 | 0.0022342 | 0.017408 | 0.038292 | 0.05036 | 0.039943 | 0.0070543 | 0.065741 | 0.011481 | 0.015545 | -1794.2636 | -873.3035 | -422.458 | -251.8144 | -197.9376 | -183.3561 | -209.3696 | -173.3484 | -177.7185 | -166.2056 | 2.49E-07 | 3.17E-06 | 5.81E-05 | 0.00025339 | 0.00041665 | 0.00034947 | 6.42E-05 | 0.0012097 | 9.43E-05 | 0.00012474 | 6.32E-07 | 5.39E-06 | 8.96E-05 | 0.00025559 | 0.0008116 | 0.00063551 | 0.00015527 | 0.0021871 | 0.00022223 | 0.00026275 | -19028.6532 | -25392.0069 | -36496.8101 | -56599.2563 | -97324.883 | -182880.5032 | -376979.9939 | -768230.2335 | -1659120.382 | -3563560.603 | 413.5284 | 275.8597 | 198.1971 | 153.6379 | 132.0522 | 124.0327 | 127.8282 | 130.2373 | 140.6345 | 151.0317 | 0.85289 | 3.0213 | 9.6956 | 28.3506 | 73.7185 | 173.4666 | 368.5705 | 786.0763 | 1572.1837 | 3144.4525 | 6.2381 | 16.5376 | 41.7306 | 100.0918 | 226.9019 | 489.9169 | 1006.3702 | 2074.4541 | 4148.9889 | 8298.1606 | 2.85E-05 | 1.03E-05 | 1.11E-05 | 9.95E-06 | 1.16E-05 | 2.51E-05 | 9.17E-05 | 0.00027638 | 0.00040368 | 0.00044881 | 0.00051462 | 0.00029688 | 0.0016397 | 0.010578 | 0.02846 | 0.038432 | 0.10461 | 0.24217 | 0.16719 | 0.038735 | 0.014496 | 0.031693 | 0.079893 | 0.049325 | 0.0073509 | 0.043457 | 0.09836 | 0.040744 | 0.00061697 | 3.08E-05 | 1.49E-05 | 7.27E-06 | 3.81E-06 | 2.73E-06 | 2.26E-06 | 6.16E-05 | 0.29166 | 0.11366 | 0.12271 | 0.097845 | 0.11144 | 0.2801 | 1.0264 | 2.8481 | 3.9585 | 4.3621 | 4.8483 | 2.7101 | 13.3847 | 65.9794 | 140.8136 | 163.4516 | 367.5642 | 629.8223 | 457.775 | 156.2954 | 65.511 | 124.8502 | 235.1947 | 160.8094 | 35.3951 | 131.3867 | 199.51 | 111.2087 | 3.9404 | 0.24557 | 0.13145 | 0.068996 | 0.038506 | 0.028664 | 0.02386 | 0.51996 | -2031484.253 | -1805547.302 | -1489764.687 | -1260945.267 | -1029091.899 | -784301.4343 | -593534.8933 | -453059.1897 | -359075.8955 | -285733.2255 | -230526.8175 | -203389.4678 | -136442.1326 | -90311.316 | -66006.9965 | -53505.5568 | -33182.7497 | -21148.2216 | -18974.3829 | -20233.2095 | -21925.5308 | -13454.9364 | -8507.0116 | -7720.614 | -9389.7366 | -5013.9281 | -3078.5008 | -3212.9726 | -5792.2069 | -6983.7028 | -6115.804 | -5232.0226 | -4466.8949 | -3719.5566 | -3106.4317 | -2550.7038 | 3.05E-07 | 1.54E-07 | 2.18E-07 | 2.16E-07 | 2.74E-07 | 6.67E-07 | 2.69E-06 | 1.33E-05 | 2.52E-05 | 3.06E-05 | 5.10E-05 | 2.41E-05 | 9.84E-05 | 0.0011556 | 0.0053736 | 0.0071835 | 0.020633 | 0.083515 | 0.068347 | 0.018282 | 0.0070923 | 0.014158 | 0.069615 | 0.051104 | 0.0026297 | 0.043337 | 0.18627 | 0.080423 | 0.00061286 | 8.14E-05 | 4.98E-05 | 2.92E-05 | 1.76E-05 | 1.55E-05 | 1.58E-05 | 2.89E-05 | 2.39E-05 | 9.31E-06 | 1.02E-05 | 1.27E-05 | 1.65E-05 | 2.18E-05 | 2.96E-05 | 4.43E-05 | 6.55E-05 | 8.07E-05 | 0.00011966 | 0.00016935 | 0.00030136 | 0.0011847 | 0.0058638 | 0.011582 | 0.020694 | 0.048548 | 0.050015 | 0.013136 | 0.007855 | 0.012935 | 0.020618 | 0.011377 | 0.007183 | 0.011377 | 0.035418 | 0.018052 | 0.0015779 | 0.00035175 | 0.00016069 | 8.70E-05 | 4.82E-05 | 3.20E-05 | 3.22E-05 | 0.00015255 | 2.14E-07 | -1.87E-07 | 4.33E-20 | 4.08E-07 | 0 | 4.73E-08 | 2.12E-06 | -7.47E-19 | 1.63E-05 | 2.01E-05 | 2.11E-05 | -5.29E-18 | 1.48E-18 | -0.0001459 | -0.0002765 | 0 | 0 | -7.32E-17 | -5.16E-05 | 0 | -4.01E-18 | 3.07E-17 | 3.85E-17 | 0 | 0 | -3.79E-17 | -0.0098891 | 0.0045866 | 0.00011765 | 7.12E-20 | 2.60E-05 | -0.00020704 | -8.01E-05 | -0.00015781 | 1.33E-05 | -0.013974 | -1.77E-21 | 5.66E-21 | -1.19E-21 | 1.85E-20 | 0 | 3.08E-21 | -1.20E-20 | 2.01E-20 | 2.03E-20 | 3.71E-20 | -1.68E-20 | -3.77E-20 | -4.95E-20 | 7.58E-21 | 1.20E-19 | -4.36E-20 | -1.18E-19 | 1.34E-18 | 3.17E-18 | 5.66E-21 | 3.09E-19 | -1.44E-19 | 1.39E-18 | 0 | 1.78E-19 | 3.15E-19 | -4.27E-18 | 1.95E-18 | 7.77E-20 | -2.34E-20 | 9.79E-20 | -5.89E-20 | -6.05E-20 | 2.43E-20 | -2.92E-20 | -0.013605 | 0.00049391 | 0.00032493 | 0.00036952 | 0.00038349 | 0.00045411 | 0.00073142 | 0.0015304 | 0.0029108 | 0.0038536 | 0.0044511 | 0.0052212 | 0.0043442 | 0.011184 | 0.031117 | 0.055913 | 0.071183 | 0.12865 | 0.21443 | 0.19515 | 0.10292 | 0.068959 | 0.11171 | 0.19431 | 0.16721 | 0.070714 | 0.18846 | 0.31042 | 0.21896 | 0.029506 | 0.0072289 | 0.0054982 | 0.0042191 | 0.0033429 | 0.0031033 | 0.0030985 | 0.0047797 | -0.07036 | -0.031668 | -0.031342 | -0.035671 | -0.039817 | -0.044589 | -0.050361 | -0.056267 | -0.061855 | -0.066933 | -0.070039 | -0.099695 | -0.11221 | -0.10134 | -0.17254 | -0.25945 | -0.34292 | -0.50757 | -0.47909 | -0.25345 | -0.19328 | -0.26291 | -0.36756 | -0.29252 | -0.1511 | -0.34059 | -0.53495 | -0.3857 | -0.13582 | -0.055053 | -0.031383 | -0.019211 | -0.014257 | -0.008747 | -0.0074379 | -0.024711 | 0.048874 | 0.024703 | 0.031342 | 0.030946 | 0.039817 | 0.042343 | 0.04792 | 0.056267 | 0.055059 | 0.063234 | 0.080975 | 0.099695 | 0.11221 | 0.12158 | 0.18155 | 0.25945 | 0.34292 | 0.50757 | 0.47634 | 0.25345 | 0.19328 | 0.26291 | 0.36756 | 0.29252 | 0.1511 | 0.34059 | 0.50855 | 0.34973 | 0.09236 | 0.055053 | 0.033916 | 0.021793 | 0.017135 | 0.013696 | 0.013895 | 0.028459 | -32.3144 | -12.6809 | -3.29E-15 | -7.2593 | -3.83E-15 | -0.40195 | -0.10174 | 3.35E-17 | -0.033633 | -0.02405 | 0.17808 | -3.68E-15 | -2.35E-17 | 0.0061139 | -9.22E-05 | -7.09E-18 | -3.91E-18 | 8.75E-18 | 0.00033012 | -9.33E-19 | -7.02E-20 | -1.01E-17 | 1.52E-17 | -5.59E-18 | 8.09E-18 | -6.28E-18 | 9.76E-05 | -0.0056792 | -0.2059 | 3.63E-16 | 0.48284 | 0.50453 | 0.68422 | 0.72933 | 0.78041 | 5.2294 | 8643.986 | 3962.0554 | 2976.2411 | 4329.0607 | 4005.1329 | 1127.6762 | 116.5331 | 20.2332 | 13.6395 | 12.5514 | 13.6965 | 60.8974 | 6.2958 | 3.0323 | 3.4039 | 4.3794 | 2.4329 | 2.0585 | 2.1839 | 2.2061 | 3.0999 | 1.9824 | 1.6227 | 1.5783 | 2.047 | 1.5772 | 1.553 | 1.5589 | 3.6107 | 23.5155 | 14.1962 | 11.0261 | 9.5082 | 6.5245 | 6.3431 | 45.178 | 1 |
| 3 | 1 | 0.85083 | 0.67604 | 0.58982 | 232 | 231 | 0.00833959 | 6.04E-05 | 0.00176 | 1.47E-05 | 0.00057 | 0.00111 | 0.00171 | 0.09902 | 0.897 | 0.05094 | 0.06497 | 0.07772 | 0.15282 | 0.974846 | 0.026313 | 17.651 | 62.66170618 | 71.6335491 | 68.08658253 | 548.4446038 | 1032.406341 | 2357.826954 | 3678.128717 | 160.387771 | 54.68516803 | 151.694847 | 84.24033898 | 0.81818 | 26.9273 | 2.6975 | 0.84951 | 0.15756 | 0.11689 | 1272869.841 | 1.6223 | 3.0309 | 0.00036006 | 0.00026593 | 0.63668 | 238.5976 | 386.4739 | 1.2614 | 1.3078 | 60.0458 | 11.3376 | 41.731 | 0.23034 | 4.8081 | 0.17296 | 9.0512 | 11.3956 | 7.6362 | 3.2208 | -0.48228 | 0.28918 | -1.7334 | -1.4929 | 0.7052 | 0.51173 | 0.16615 | 0.79354 | 0.28698 | -0.64555 | 0.0010882 | -0.0081681 | 0.0025423 | 0.0074243 | -0.001044 | 0.00017662 | -0.00062159 | 0.00061894 | -0.0026842 | -0.00030378 | 0.0036096 | 0.00021663 | -4.28E-06 | -0.00047007 | 0.00035371 | 5.73E-05 | 0.00033263 | 0.00074097 | -0.00015778 | -0.00060471 | 2.52E-05 | -0.00056663 | -0.00039975 | -3.72E-05 | 0.00027211 | -3.17E-05 | -0.00016631 | -0.00029845 | 0.52574 | 0.92039 | 0.53346 | 0.73041 | 0.31337 | 0.44232 | 0.3198 | 0.31467 | 0.30139 | 0.21901 | 0.25827 | 0.22618 | 0.21208 | 0.212 | 0.10945 | 0.14938 | 0.095065 | 0.15179 | 0.045403 | 0.08997 | 0.060735 | 0.054611 | 0.051511 | 0.032326 | 0.047357 | 0.031811 | 0.036249 | 0.038433 | 0.039709 | 0.068793 | 0.040982 | 0.068545 | 0.02474 | 0.039222 | 0.025675 | 0.024607 | 0.024819 | 0.016553 | 0.023186 | 0.017217 | 0.015073 | 0.016257 | 99.9999 | 1.17E-07 | 9.45E-07 | 1.04E-05 | 3.36E-05 | 2.43E-05 | 3.47E-05 | 1.66E-06 | 1.37E-06 | 1.11E-06 | 1.61E-05 | 1.3584 | 5.5814 | -1.9531 | -137.3999 | -102.4895 | -199.3564 | 1.1244 | 1.5957 | 1.908 | -76.5344 | -787.2253 | -282.119 | -51.3601 | -10.8033 | -20.2164 | -28.7072 | -51.3476 | -49.4374 | -59.2535 | -39.3774 | 0.001819 | 0.024522 | 0.61458 | 3.2812 | 2.4414 | 4.221 | 0.25417 | 0.097087 | 0.17991 | 3.1849 | 0.0031152 | 0.044685 | 0.69551 | 4.5176 | 5.8584 | 9.2128 | 0.49192 | 0.36858 | 0.31332 | 5.9953 | -31864278.37 | -38418848.45 | -50880181.14 | -73735268.71 | -119780270 | -214375881.7 | -423881698.8 | -832850139 | -1742078585 | -3636913180 | 1108.7207 | 668.4952 | 442.7709 | 320.9607 | 260.7518 | 233.417 | 230.7762 | 226.7479 | 237.1451 | 247.5423 | 536.3497 | 1890.9098 | 6055.5718 | 17702.5791 | 46038.8972 | 108262.1579 | 230020.8923 | 490695.5293 | 981352.7208 | 1962144.341 | 3923.9493 | 10408.7249 | 26070.3366 | 62510.6817 | 141953.0747 | 305549.8724 | 628576.2761 | 1295706.406 | 2588074.975 | 5177908.6 | 100 | 5.13E-09 | 4.13E-08 | 4.53E-07 | 1.46E-06 | 1.06E-06 | 1.51E-06 | 7.28E-08 | 5.98E-08 | 4.82E-08 | 7.07E-07 | 0.00026765 | 0.0017811 | 0.015126 | 0.039745 | 0.028471 | 0.037096 | 0.0025285 | 0.002126 | 0.001754 | 0.018435 | -1820.6641 | -865.4333 | -415.0493 | -259.3713 | -211.9958 | -191.4528 | -204.3601 | -193.094 | -203.4729 | -183.1261 | 1.27E-07 | 1.71E-06 | 4.28E-05 | 0.00022815 | 0.00016961 | 0.00029389 | 1.79E-05 | 6.78E-06 | 1.24E-05 | 0.00022278 | 2.18E-07 | 3.12E-06 | 4.85E-05 | 0.00031484 | 0.00040559 | 0.00064169 | 3.45E-05 | 2.50E-05 | 2.19E-05 | 0.00042002 | -18926.4578 | -25253.6144 | -36288.7542 | -56258.4752 | -96708.1119 | -181663.4768 | -374463.8517 | -763056.6385 | -1648032.246 | -3539902.4 | 413.0675 | 275.5868 | 198.0149 | 153.5036 | 131.9418 | 123.9329 | 127.7329 | 130.1464 | 140.5436 | 150.9408 | 0.84977 | 3.0062 | 9.647 | 28.2014 | 73.3297 | 172.5204 | 366.5936 | 782.0604 | 1564.1081 | 3128.0295 | 6.2163 | 16.4817 | 41.4869 | 99.6154 | 225.7803 | 486.9865 | 1001.7348 | 2064.1067 | 4127.0967 | 8254.7868 | 3.35E-05 | 9.54E-06 | 7.95E-06 | 5.34E-06 | 7.39E-06 | 3.56E-05 | 0.00015295 | 0.00035153 | 0.00031189 | 0.00032045 | 0.00041377 | 0.00024751 | 0.0019135 | 0.012972 | 0.034346 | 0.045342 | 0.10359 | 0.2331 | 0.19684 | 0.073713 | 0.011667 | 0.013892 | 0.036199 | 0.025447 | 0.0069858 | 0.044641 | 0.10691 | 0.04925 | 0.0010381 | 5.80E-05 | 2.56E-05 | 1.13E-05 | 7.59E-06 | 6.07E-06 | 4.17E-06 | 0.00013596 | 0.22622 | 0.067969 | 0.055977 | 0.03788 | 0.05111 | 0.22049 | 0.82949 | 1.7519 | 1.559 | 1.6033 | 1.9849 | 1.1936 | 7.5923 | 39.0161 | 84.8129 | 101.5144 | 188.1902 | 319.4879 | 273.7422 | 140.831 | 29.3223 | 34.488 | 73.6997 | 53.7727 | 17.5179 | 76.1156 | 132.2911 | 73.8324 | 3.1704 | 0.22832 | 0.10763 | 0.050766 | 0.036305 | 0.029718 | 0.020677 | 0.51712 | -2020711.806 | -1809620.535 | -1518863.7 | -1276516.971 | -1032341.341 | -782015.3863 | -592976.6564 | -460153.4797 | -378522.8213 | -305145.0185 | -246592.6024 | -214707.2576 | -146506.6418 | -99913.1016 | -73185.8529 | -56683.9547 | -41243.4355 | -29134.8907 | -23660.155 | -20578.6196 | -23785.2537 | -17830.7806 | -11965.5691 | -10363.4245 | -10590.644 | -5977.917 | -3829.1785 | -3724.5248 | -5937.264 | -6970.5761 | -6109.0433 | -5388.7857 | -4455.2826 | -3661.5431 | -3082.5691 | -2551.524 | 1.79E-07 | 7.09E-08 | 7.74E-08 | 5.78E-08 | 6.58E-08 | 3.82E-07 | 2.25E-06 | 8.57E-06 | 8.53E-06 | 9.71E-06 | 1.85E-05 | 8.98E-06 | 4.52E-05 | 0.00064935 | 0.002887 | 0.0039688 | 0.0095019 | 0.035002 | 0.035857 | 0.016842 | 0.0022362 | 0.0027582 | 0.013854 | 0.012047 | 0.0012271 | 0.019365 | 0.089922 | 0.044854 | 0.00051204 | 7.21E-05 | 3.89E-05 | 1.94E-05 | 1.64E-05 | 1.64E-05 | 1.36E-05 | 1.10E-05 | 7.16E-07 | 3.28E-07 | 3.70E-07 | 4.36E-07 | 6.07E-07 | 1.09E-06 | 4.55E-06 | 1.55E-05 | 1.51E-05 | 1.29E-05 | 2.43E-05 | 2.10E-05 | 6.74E-05 | 0.00075305 | 0.0035023 | 0.0059839 | 0.01196 | 0.04067 | 0.041622 | 0.0095174 | 0.0031066 | 0.0028386 | 0.0047222 | 0.0039858 | 0.0039894 | 0.0063163 | 0.016461 | 0.0097131 | 0.00077421 | 0.00019161 | 0.00010096 | 4.81E-05 | 2.48E-05 | 1.72E-05 | 1.53E-05 | 9.68E-05 | 5.34E-07 | -4.23E-07 | -8.50E-20 | -2.93E-07 | 0 | 9.40E-07 | -5.18E-06 | -5.36E-19 | 7.42E-06 | -4.62E-06 | 1.72E-05 | -9.79E-19 | -3.74E-19 | 4.54E-05 | 0.00015153 | 0 | 0 | -4.58E-17 | -0.001346 | 0 | -1.19E-17 | -8.65E-18 | 1.32E-17 | 0 | 0 | -1.58E-17 | 0.0043489 | -0.0048027 | 0.00014279 | 1.42E-19 | 0.00017897 | 4.67E-06 | -1.07E-05 | -0.00013592 | 0.00016317 | -0.014231 | 9.44E-22 | -5.04E-22 | -3.29E-22 | -1.47E-21 | 2.60E-22 | 3.10E-21 | -9.07E-21 | -2.91E-22 | -1.05E-21 | 9.08E-21 | 7.08E-22 | 2.58E-21 | -1.20E-20 | -1.13E-19 | 1.47E-19 | -5.18E-20 | -7.42E-20 | 1.05E-18 | -2.19E-18 | -6.03E-20 | 1.76E-19 | 1.52E-19 | 9.51E-19 | 1.88E-19 | 1.88E-20 | -2.70E-19 | -2.12E-18 | 2.66E-18 | 1.75E-19 | 2.34E-20 | -5.60E-20 | -1.68E-20 | 3.53E-20 | 3.03E-20 | 2.19E-20 | -0.014115 | 0.00035847 | 0.00020962 | 0.0002096 | 0.00018826 | 0.00024257 | 0.00058302 | 0.0013241 | 0.0021989 | 0.002269 | 0.0025194 | 0.003136 | 0.002657 | 0.0080929 | 0.023083 | 0.041144 | 0.051791 | 0.085754 | 0.14092 | 0.14184 | 0.095104 | 0.04144 | 0.049543 | 0.08761 | 0.080447 | 0.046176 | 0.12795 | 0.21678 | 0.16125 | 0.025637 | 0.0066428 | 0.0048288 | 0.0035216 | 0.0031609 | 0.0031004 | 0.0028193 | 0.0025955 | -0.012335 | -0.0065223 | -0.0061951 | -0.0063665 | -0.0071569 | -0.0086097 | -0.01069 | -0.012677 | -0.013539 | -0.015216 | -0.019435 | -0.026241 | -0.039886 | -0.081836 | -0.15447 | -0.20036 | -0.28375 | -0.47225 | -0.43444 | -0.23779 | -0.13881 | -0.12276 | -0.17184 | -0.21641 | -0.24864 | -0.2549 | -0.35313 | -0.26568 | -0.066929 | -0.038477 | -0.024064 | -0.018601 | -0.012998 | -0.0080327 | -0.0074711 | -0.020294 | 0.0068916 | 0.0045698 | 0.0061951 | 0.0045936 | 0.0071569 | 0.0057063 | 0.0080594 | 0.012677 | 0.012269 | 0.01111 | 0.01381 | 0.026241 | 0.039886 | 0.081818 | 0.17028 | 0.20036 | 0.28375 | 0.47225 | 0.43091 | 0.23779 | 0.13881 | 0.12276 | 0.17184 | 0.21641 | 0.24864 | 0.2549 | 0.36358 | 0.26786 | 0.074982 | 0.038477 | 0.029836 | 0.020569 | 0.011885 | 0.0094452 | 0.0081649 | -0.0026291 | -0.5552 | -0.49512 | -3.42E-15 | -1.3547 | -4.93E-15 | -0.19022 | -0.040808 | 7.43E-17 | -0.016802 | -0.031809 | -0.006751 | 2.32E-16 | -7.03E-17 | 0.0064467 | -0.0056231 | -1.96E-16 | -2.07E-17 | -1.00E-17 | 0.0043452 | -8.02E-18 | 1.20E-16 | 4.89E-17 | 3.92E-17 | 2.46E-18 | 1.12E-16 | -1.14E-17 | 0.00040248 | -0.0038236 | 0.020236 | -3.90E-17 | 0.30165 | 0.1705 | -0.060885 | 0.26951 | -0.0055224 | 0.35054 | 29.2717 | 32.4971 | 38.9453 | 85.148 | 62.5132 | 9.7308 | 6.889 | 6.1357 | 5.4926 | 3.9078 | 4.0864 | 6.9828 | 3.4411 | 3.5173 | 3.7204 | 4.2212 | 3.4881 | 3.4851 | 3.3007 | 2.0427 | 3.1436 | 2.1203 | 1.6627 | 1.6731 | 3.2597 | 1.5921 | 1.5399 | 1.5643 | 2.3308 | 9.4959 | 10.7458 | 11.0177 | 4.8066 | 2.9199 | 3.1495 | 4.7666 | 1 |
| 4 | 0 | 0.41121 | 0.79672 | 0.59257 | 178 | 177 | 0.010857733 | 0.000182739 | 0.00419 | 4.55E-05 | 0.00149 | 0.00268 | 0.00446 | 0.05451 | 0.527 | 0.02395 | 0.02857 | 0.04462 | 0.07185 | 0.968343 | 0.042003 | 19.865 | 76.30698902 | 81.00074938 | 79.19059268 | 819.529588 | 1201.813897 | 3154.035654 | 4122.163933 | 238.6670518 | 191.9849158 | 573.7529088 | 526.1475988 | 0.98548 | 139.5744 | 1.6961 | 0.83405 | 0.17295 | 0.14737 | 1932289.206 | 1.6717 | 3.0293 | 0.00019636 | 0.00019381 | 0.45452 | 79.0921 | 161.1054 | 1.2369 | 1.2986 | 83.6201 | 5.0784 | 35.8179 | 0.23529 | 4.2629 | 0.1751 | 9.8453 | 13.7399 | 6.7365 | 3.1023 | 0.75419 | -1.559 | -1.0083 | -0.65556 | 0.86495 | 1.4837 | -0.15365 | -0.89378 | -0.75427 | 0.077452 | -0.00072002 | -0.0076002 | 0.001532 | 0.00064955 | 0.0012839 | -0.00051613 | 0.0014377 | 0.00030993 | -0.0014487 | -0.00070635 | 0.00048745 | -0.0029968 | -0.0009698 | 0.001058 | -0.00011203 | 0.00065284 | -0.0011438 | 9.42E-05 | 0.00021784 | 0.00061654 | -0.00082259 | 0.00019486 | 0.00026348 | -0.00023155 | 0.00046743 | 0.0001028 | -0.00013207 | -8.01E-05 | 0.21182 | 1.0712 | 0.70803 | 0.59415 | 0.38868 | 0.27861 | 0.31571 | 0.20935 | 0.23498 | 0.24529 | 0.19689 | 0.20629 | 0.20627 | 0.25169 | 0.039296 | 0.18326 | 0.09935 | 0.072753 | 0.046507 | 0.046017 | 0.045901 | 0.035774 | 0.035142 | 0.032577 | 0.024291 | 0.0323 | 0.029051 | 0.037164 | 0.01556 | 0.074119 | 0.040403 | 0.030155 | 0.019442 | 0.018382 | 0.018555 | 0.017274 | 0.016129 | 0.015533 | 0.011976 | 0.015529 | 0.01377 | 0.015713 | 99.0823 | 0.0085456 | 0.020586 | 0.025449 | 0.041488 | 0.062341 | 0.090279 | 0.13331 | 0.23465 | 0.067636 | 0.23338 | -97087.306 | -279305.8601 | -347307.971 | -605087.6711 | -1018351.291 | -1571525.953 | -2432333.316 | -4520938.77 | -1187850.179 | -4571329.829 | -328.3795 | 105.9933 | 118.3538 | 145.1279 | 127.0736 | 115.1613 | 99.4862 | 102.5224 | 94.2247 | 109.5148 | 129.9336 | 383.699 | 1077.8044 | 2857.1343 | 3233.2456 | 8715.5558 | 12621.0552 | 41833.392 | 7594.7548 | 37684.4579 | 432.3708 | 1682.6595 | 2707.5415 | 5456.4506 | 10590.0428 | 18444.5045 | 26794.4372 | 61373.061 | 16630.2743 | 72647.0576 | -44854174.87 | -50479679.82 | -60032621.59 | -76609325.9 | -109696232.2 | -176812107.4 | -330129338.5 | -625193831.3 | -1306601988 | -2722133496 | 1114.463 | 669.4187 | 440.8719 | 318.0211 | 257.23 | 229.4475 | 226.5624 | 222.5964 | 233.0128 | 243.445 | 1901.8331 | 4692.7977 | 10378.0764 | 22556.312 | 44691.4166 | 97623.3041 | 184765.641 | 377576.4933 | 735812.83 | 1507172.433 | 11489.6961 | 27458.8885 | 60867.3395 | 110362.2373 | 200062.7545 | 314057.2871 | 703002.2409 | 1002359.597 | 2359863.04 | 4011147.82 | 99.9734 | 0.00024751 | 0.00058569 | 0.00073641 | 0.001226 | 0.0018344 | 0.0025713 | 0.0038578 | 0.0067259 | 0.0019206 | 0.0069124 | 2.4956 | 3.4691 | 4.182 | 4.6049 | 0.6632 | -3.9944 | -12.5212 | -34.8562 | -3.5002 | -41.1135 | -1383.4552 | -481.5866 | -246.5422 | -106.1949 | -70.022 | -51.5251 | -56.7015 | -45.5159 | -53.0037 | -37.7727 | 0.0072832 | 0.021209 | 0.059953 | 0.16413 | 0.18385 | 0.47943 | 0.70752 | 2.315 | 0.41861 | 2.1657 | 0.024163 | 0.090943 | 0.15171 | 0.31669 | 0.61057 | 1.01 | 1.5094 | 3.3962 | 0.9064 | 4.2027 | -19352.0891 | -25452.5218 | -35824.8476 | -54370.929 | -91686.1704 | -169639.1274 | -347128.0292 | -704471.7514 | -1522358.498 | -3271399.011 | 413.638 | 275.3259 | 197.2795 | 152.594 | 130.948 | 122.8786 | 126.6411 | 129.0689 | 139.4666 | 149.8649 | 0.88367 | 2.9398 | 9.0446 | 26.222 | 67.4885 | 158.1634 | 336.9109 | 724.9443 | 1448.7625 | 2913.3877 | 6.7833 | 16.8216 | 41.3157 | 94.4579 | 211.1565 | 443.3447 | 955.8128 | 1890.1299 | 3910.7029 | 7698.9389 | 5.07E-05 | 4.10E-05 | 4.12E-05 | 4.68E-05 | 6.13E-05 | 4.16E-05 | 6.81E-05 | 0.00013226 | 0.00016727 | 0.00010696 | 6.70E-05 | 0.00070311 | 0.0060201 | 0.021586 | 0.039522 | 0.051449 | 0.041364 | 0.025707 | 0.015339 | 0.018269 | 0.030173 | 0.023593 | 0.061092 | 0.24141 | 0.3388 | 0.067133 | 0.0020723 | 0.0058923 | 0.0066805 | 0.0013384 | 0.00020678 | 0.00013655 | 8.67E-05 | 6.90E-05 | 5.43E-05 | 0.0004854 | 3.2644 | 2.7242 | 2.7098 | 3.0135 | 3.7948 | 2.5648 | 3.8892 | 6.9009 | 8.4406 | 5.4484 | 3.2053 | 28.6449 | 164.5254 | 405.465 | 572.9586 | 646.9783 | 516.0856 | 388.1459 | 283.8624 | 324.7968 | 428.4747 | 312.2889 | 442.2451 | -299.2632 | -1478.3036 | 278.3738 | 38.4777 | 75.2616 | 74.3186 | 24.6215 | 5.2959 | 4.2678 | 2.7938 | 2.2168 | 1.7377 | 10.8069 | -1702568.07 | -1454658.702 | -1187303.62 | -962685.5852 | -777792.1916 | -660578.0325 | -533041.4743 | -418108.6951 | -336685.8193 | -287896.7686 | -255107.4287 | -160775.565 | -103182.8663 | -70072.7154 | -50643.982 | -39123.6393 | -33611.6072 | -27559.051 | -22665.2697 | -16728.0806 | -11364.9476 | -10477.1084 | -6042.5372 | -1891.9492 | -976.8516 | -2473.9872 | -7018.6958 | -4965.0071 | -3893.6863 | -3853.4907 | -3875.9253 | -3124.9244 | -2779.8086 | -2372.6055 | -1965.3808 | -1798.1406 | 2.58E-06 | 4.17E-06 | 4.81E-06 | 6.05E-06 | 1.16E-05 | 7.33E-06 | 1.46E-05 | 3.75E-05 | 6.34E-05 | 4.76E-05 | 2.49E-05 | 0.00016249 | 0.002862 | 0.017546 | 0.039916 | 0.069072 | 0.065807 | 0.049093 | 0.033062 | 0.041257 | 0.1051 | 0.08108 | 0.16641 | 1.1937 | 2.663 | 0.43267 | 0.012883 | 0.064964 | 0.10644 | 0.018764 | 0.0038535 | 0.0034189 | 0.0023835 | 0.0024423 | 0.0022068 | 0.015199 | 6.37E-05 | 2.66E-05 | 2.86E-05 | 3.42E-05 | 4.66E-05 | 5.73E-05 | 7.94E-05 | 0.00013746 | 0.00019942 | 0.00021031 | 0.00023291 | 0.00049299 | 0.0051831 | 0.033105 | 0.074102 | 0.10096 | 0.10324 | 0.068923 | 0.036978 | 0.032334 | 0.050512 | 0.087238 | 0.17131 | 0.70487 | 1.2793 | 0.23683 | 0.036806 | 0.081565 | 0.12697 | 0.036248 | 0.01138 | 0.0047768 | 0.0038366 | 0.0039123 | 0.0039394 | 0.01944 | 3.97E-06 | 5.70E-08 | 3.45E-06 | 3.58E-06 | -3.38E-06 | -4.61E-06 | -9.20E-06 | -1.10E-06 | 3.72E-05 | -1.80E-05 | -4.33E-05 | 1.62E-06 | -7.11E-05 | 0.00064424 | -0.00050248 | -4.74E-06 | 0.00045834 | -0.00089712 | 0.0002404 | 0.0013777 | 0.002527 | -0.0002344 | -0.00040175 | -0.0037296 | 0.0022949 | 0.0011054 | -3.43E-05 | 0.00087303 | 0.00025586 | -0.00062471 | 0.0018057 | 0.0010138 | 0.0018691 | -0.00031291 | 0.0009057 | -0.0034068 | -4.48E-21 | 1.21E-20 | -1.12E-20 | -5.40E-21 | -7.10E-21 | -1.41E-20 | -8.81E-21 | 2.49E-20 | 2.94E-20 | 1.22E-21 | 5.63E-20 | -3.16E-20 | 2.56E-19 | -1.23E-18 | -9.09E-20 | 5.09E-20 | -1.07E-19 | -2.80E-19 | -1.26E-19 | 1.43E-19 | 7.78E-19 | -2.17E-19 | 2.87E-18 | -6.25E-20 | 2.83E-18 | -2.34E-18 | 5.94E-19 | -1.62E-18 | 4.66E-19 | -2.06E-18 | 5.04E-19 | 5.73E-19 | -2.42E-19 | 2.43E-20 | -5.54E-19 | 0.0012506 | 0.0015865 | 0.0015636 | 0.0017156 | 0.0020026 | 0.0025124 | 0.0022673 | 0.003178 | 0.0048503 | 0.0059754 | 0.0052343 | 0.004537 | 0.016104 | 0.05162 | 0.10708 | 0.15872 | 0.19839 | 0.19487 | 0.16829 | 0.14238 | 0.17026 | 0.23965 | 0.23218 | 0.40929 | 0.89105 | 1.1564 | 0.56424 | 0.10853 | 0.20058 | 0.23387 | 0.11479 | 0.049383 | 0.04404 | 0.038407 | 0.037596 | 0.036562 | 0.09767 | -0.08388 | -0.042498 | -0.048721 | -0.051463 | -0.060416 | -0.069825 | -0.078876 | -0.089012 | -0.099344 | -0.11082 | -0.12164 | -0.12999 | -0.26893 | -0.58638 | -0.84814 | -0.91013 | -0.82669 | -0.65225 | -0.52657 | -0.41462 | -0.54714 | -0.68398 | -1.0268 | -2.0973 | -2.3609 | -1.2724 | -0.66787 | -0.70187 | -0.67182 | -0.5069 | -0.35856 | -0.17574 | -0.15448 | -0.11117 | -0.18454 | -0.31074 | 0.12048 | 0.056334 | 0.053598 | 0.059935 | 0.06718 | 0.076199 | 0.083617 | 0.088373 | 0.1038 | 0.11799 | 0.11129 | 0.12297 | 0.27353 | 0.56774 | 0.83417 | 0.94236 | 0.87739 | 0.76014 | 0.50019 | 0.39757 | 0.55106 | 0.61714 | 0.95174 | 2.1388 | 2.388 | 1.2346 | 0.59222 | 0.68665 | 0.67648 | 0.48649 | 0.25456 | 0.15436 | 0.13316 | 0.16153 | 0.12 | 0.44071 | 4.2706 | 0.61673 | 0.06455 | 0.27323 | 0.029176 | 0.17987 | 0.15626 | -0.018663 | -0.014528 | 0.051052 | 0.022622 | -0.030428 | 0.034804 | 0.00015281 | 0.0095613 | 0.0018376 | 0.0090356 | 0.001939 | 0.052791 | -0.0012963 | -0.0012811 | -0.014082 | -0.0012396 | 0.0042441 | 9.94E-05 | -0.017955 | -0.07331 | 0.027619 | 0.0053815 | -0.017733 | -0.76792 | -0.13315 | -0.36717 | 0.36692 | -0.49265 | 0.19164 | 591.0116 | 65.3827 | 53.9852 | 45.4458 | 34.665 | 88.3259 | 46.6869 | 23.2911 | 19.2022 | 42.3957 | 100.3649 | 7.1967 | 6.3892 | 6.5496 | 6.0264 | 4.7656 | 4.8909 | 4.2531 | 3.0295 | 2.0362 | 1.8478 | 2.5776 | 2.2064 | 1.9491 | 1.912 | 1.8829 | 6.9761 | 3.7805 | 3.5664 | 5.2558 | 14.0403 | 4.2235 | 4.6857 | 4.846 | 6.265 | 4.0603 | 1 |
df = df.apply (pd.to_numeric, errors='coerce')
df.dtypes
0 gender int64 PPE float64 DFA float64 RPDE float64 numPulses int64 numPeriodsPulses int64 meanPeriodPulses float64 stdDevPeriodPulses float64 locPctJitter float64 locAbsJitter float64 rapJitter float64 ppq5Jitter float64 ddpJitter float64 locShimmer float64 locDbShimmer float64 apq3Shimmer float64 apq5Shimmer float64 apq11Shimmer float64 ddaShimmer float64 meanAutoCorrHarmonicity float64 meanNoiseToHarmHarmonicity float64 meanHarmToNoiseHarmonicity float64 minIntensity float64 maxIntensity float64 meanIntensity float64 f1 float64 f2 float64 f3 float64 f4 float64 b1 float64 b2 float64 b3 float64 b4 float64 GQ_prc5_95 float64 GQ_std_cycle_open float64 GQ_std_cycle_closed float64 GNE_mean float64 GNE_std float64 GNE_SNR_TKEO float64 GNE_SNR_SEO float64 GNE_NSR_TKEO float64 GNE_NSR_SEO float64 VFER_mean float64 VFER_std float64 VFER_entropy float64 VFER_SNR_TKEO float64 VFER_SNR_SEO float64 VFER_NSR_TKEO float64 VFER_NSR_SEO float64 IMF_SNR_SEO float64 IMF_SNR_TKEO float64 IMF_SNR_entropy float64 IMF_NSR_SEO float64 IMF_NSR_TKEO float64 IMF_NSR_entropy float64 mean_Log_energy float64 mean_MFCC_0th_coef float64 mean_MFCC_1st_coef float64 mean_MFCC_2nd_coef float64 mean_MFCC_3rd_coef float64 mean_MFCC_4th_coef float64 mean_MFCC_5th_coef float64 mean_MFCC_6th_coef float64 mean_MFCC_7th_coef float64 mean_MFCC_8th_coef float64 mean_MFCC_9th_coef float64 mean_MFCC_10th_coef float64 mean_MFCC_11th_coef float64 mean_MFCC_12th_coef float64 mean_delta_log_energy float64 mean_0th_delta float64 mean_1st_delta float64 mean_2nd_delta float64 mean_3rd_delta float64 mean_4th_delta float64 mean_5th_delta float64 mean_6th_delta float64 mean_7th_delta float64 mean_8th_delta float64 mean_9th_delta float64 mean_10th_delta float64 mean_11th_delta float64 mean_12th_delta float64 mean_delta_delta_log_energy float64 mean_delta_delta_0th float64 mean_1st_delta_delta float64 mean_2nd_delta_delta float64 mean_3rd_delta_delta float64 mean_4th_delta_delta float64 mean_5th_delta_delta float64 mean_6th_delta_delta float64 mean_7th_delta_delta float64 mean_8th_delta_delta float64 mean_9th_delta_delta float64 mean_10th_delta_delta float64 mean_11th_delta_delta float64 mean_12th_delta_delta float64 std_Log_energy float64 std_MFCC_0th_coef float64 std_MFCC_1st_coef float64 std_MFCC_2nd_coef float64 std_MFCC_3rd_coef float64 std_MFCC_4th_coef float64 std_MFCC_5th_coef float64 std_MFCC_6th_coef float64 std_MFCC_7th_coef float64 std_MFCC_8th_coef float64 std_MFCC_9th_coef float64 std_MFCC_10th_coef float64 std_MFCC_11th_coef float64 std_MFCC_12th_coef float64 std_delta_log_energy float64 std_0th_delta float64 std_1st_delta float64 std_2nd_delta float64 std_3rd_delta float64 std_4th_delta float64 std_5th_delta float64 std_6th_delta float64 std_7th_delta float64 std_8th_delta float64 std_9th_delta float64 std_10th_delta float64 std_11th_delta float64 std_12th_delta float64 std_delta_delta_log_energy float64 std_delta_delta_0th float64 std_1st_delta_delta float64 std_2nd_delta_delta float64 std_3rd_delta_delta float64 std_4th_delta_delta float64 std_5th_delta_delta float64 std_6th_delta_delta float64 std_7th_delta_delta float64 std_8th_delta_delta float64 std_9th_delta_delta float64 std_10th_delta_delta float64 std_11th_delta_delta float64 std_12th_delta_delta float64 Ea float64 Ed_1_coef float64 Ed_2_coef float64 Ed_3_coef float64 Ed_4_coef float64 Ed_5_coef float64 Ed_6_coef float64 Ed_7_coef float64 Ed_8_coef float64 Ed_9_coef float64 Ed_10_coef float64 det_entropy_shannon_1_coef float64 det_entropy_shannon_2_coef float64 det_entropy_shannon_3_coef float64 det_entropy_shannon_4_coef float64 det_entropy_shannon_5_coef float64 det_entropy_shannon_6_coef float64 det_entropy_shannon_7_coef float64 det_entropy_shannon_8_coef float64 det_entropy_shannon_9_coef float64 det_entropy_shannon_10_coef float64 det_entropy_log_1_coef float64 det_entropy_log_2_coef float64 det_entropy_log_3_coef float64 det_entropy_log_4_coef float64 det_entropy_log_5_coef float64 det_entropy_log_6_coef float64 det_entropy_log_7_coef float64 det_entropy_log_8_coef float64 det_entropy_log_9_coef float64 det_entropy_log_10_coef float64 det_TKEO_mean_1_coef float64 det_TKEO_mean_2_coef float64 det_TKEO_mean_3_coef float64 det_TKEO_mean_4_coef float64 det_TKEO_mean_5_coef float64 det_TKEO_mean_6_coef float64 det_TKEO_mean_7_coef float64 det_TKEO_mean_8_coef float64 det_TKEO_mean_9_coef float64 det_TKEO_mean_10_coef float64 det_TKEO_std_1_coef float64 det_TKEO_std_2_coef float64 det_TKEO_std_3_coef float64 det_TKEO_std_4_coef float64 det_TKEO_std_5_coef float64 det_TKEO_std_6_coef float64 det_TKEO_std_7_coef float64 det_TKEO_std_8_coef float64 det_TKEO_std_9_coef float64 det_TKEO_std_10_coef float64 app_entropy_shannon_1_coef float64 app_entropy_shannon_2_coef float64 app_entropy_shannon_3_coef float64 app_entropy_shannon_4_coef float64 app_entropy_shannon_5_coef float64 app_entropy_shannon_6_coef float64 app_entropy_shannon_7_coef float64 app_entropy_shannon_8_coef float64 app_entropy_shannon_9_coef float64 app_entropy_shannon_10_coef int64 app_entropy_log_1_coef float64 app_entropy_log_2_coef float64 app_entropy_log_3_coef float64 app_entropy_log_4_coef float64 app_entropy_log_5_coef float64 app_entropy_log_6_coef float64 app_entropy_log_7_coef float64 app_entropy_log_8_coef float64 app_entropy_log_9_coef float64 app_entropy_log_10_coef float64 app_det_TKEO_mean_1_coef float64 app_det_TKEO_mean_2_coef float64 app_det_TKEO_mean_3_coef float64 app_det_TKEO_mean_4_coef float64 app_det_TKEO_mean_5_coef float64 app_det_TKEO_mean_6_coef float64 app_det_TKEO_mean_7_coef float64 app_det_TKEO_mean_8_coef float64 app_det_TKEO_mean_9_coef float64 app_det_TKEO_mean_10_coef float64 app_TKEO_std_1_coef float64 app_TKEO_std_2_coef float64 app_TKEO_std_3_coef float64 app_TKEO_std_4_coef float64 app_TKEO_std_5_coef float64 app_TKEO_std_6_coef float64 app_TKEO_std_7_coef float64 app_TKEO_std_8_coef float64 app_TKEO_std_9_coef float64 app_TKEO_std_10_coef float64 Ea2 float64 Ed2_1_coef float64 Ed2_2_coef float64 Ed2_3_coef float64 Ed2_4_coef float64 Ed2_5_coef float64 Ed2_6_coef float64 Ed2_7_coef float64 Ed2_8_coef float64 Ed2_9_coef float64 Ed2_10_coef float64 det_LT_entropy_shannon_1_coef float64 det_LT_entropy_shannon_2_coef float64 det_LT_entropy_shannon_3_coef float64 det_LT_entropy_shannon_4_coef float64 det_LT_entropy_shannon_5_coef float64 det_LT_entropy_shannon_6_coef float64 det_LT_entropy_shannon_7_coef float64 det_LT_entropy_shannon_8_coef float64 det_LT_entropy_shannon_9_coef float64 det_LT_entropy_shannon_10_coef float64 det_LT_entropy_log_1_coef float64 det_LT_entropy_log_2_coef float64 det_LT_entropy_log_3_coef float64 det_LT_entropy_log_4_coef float64 det_LT_entropy_log_5_coef float64 det_LT_entropy_log_6_coef float64 det_LT_entropy_log_7_coef float64 det_LT_entropy_log_8_coef float64 det_LT_entropy_log_9_coef float64 det_LT_entropy_log_10_coef float64 det_LT_TKEO_mean_1_coef float64 det_LT_TKEO_mean_2_coef float64 det_LT_TKEO_mean_3_coef float64 det_LT_TKEO_mean_4_coef float64 det_LT_TKEO_mean_5_coef float64 det_LT_TKEO_mean_6_coef float64 det_LT_TKEO_mean_7_coef float64 det_LT_TKEO_mean_8_coef float64 det_LT_TKEO_mean_9_coef float64 det_LT_TKEO_mean_10_coef float64 det_LT_TKEO_std_1_coef float64 det_LT_TKEO_std_2_coef float64 det_LT_TKEO_std_3_coef float64 det_LT_TKEO_std_4_coef float64 det_LT_TKEO_std_5_coef float64 det_LT_TKEO_std_6_coef float64 det_LT_TKEO_std_7_coef float64 det_LT_TKEO_std_8_coef float64 det_LT_TKEO_std_9_coef float64 det_LT_TKEO_std_10_coef float64 app_LT_entropy_shannon_1_coef float64 app_LT_entropy_shannon_2_coef float64 app_LT_entropy_shannon_3_coef float64 app_LT_entropy_shannon_4_coef float64 app_LT_entropy_shannon_5_coef float64 app_LT_entropy_shannon_6_coef float64 app_LT_entropy_shannon_7_coef float64 app_LT_entropy_shannon_8_coef float64 app_LT_entropy_shannon_9_coef float64 app_LT_entropy_shannon_10_coef float64 app_LT_entropy_log_1_coef float64 app_LT_entropy_log_2_coef float64 app_LT_entropy_log_3_coef float64 app_LT_entropy_log_4_coef float64 app_LT_entropy_log_5_coef float64 app_LT_entropy_log_6_coef float64 app_LT_entropy_log_7_coef float64 app_LT_entropy_log_8_coef float64 app_LT_entropy_log_9_coef float64 app_LT_entropy_log_10_coef float64 app_LT_TKEO_mean_1_coef float64 app_LT_TKEO_mean_2_coef float64 app_LT_TKEO_mean_3_coef float64 app_LT_TKEO_mean_4_coef float64 app_LT_TKEO_mean_5_coef float64 app_LT_TKEO_mean_6_coef float64 app_LT_TKEO_mean_7_coef float64 app_LT_TKEO_mean_8_coef float64 app_LT_TKEO_mean_9_coef float64 app_LT_TKEO_mean_10_coef float64 app_LT_TKEO_std_1_coef float64 app_LT_TKEO_std_2_coef float64 app_LT_TKEO_std_3_coef float64 app_LT_TKEO_std_4_coef float64 app_LT_TKEO_std_5_coef float64 app_LT_TKEO_std_6_coef float64 app_LT_TKEO_std_7_coef float64 app_LT_TKEO_std_8_coef float64 app_LT_TKEO_std_9_coef float64 app_LT_TKEO_std_10_coef float64 tqwt_energy_dec_1 float64 tqwt_energy_dec_2 float64 tqwt_energy_dec_3 float64 tqwt_energy_dec_4 float64 tqwt_energy_dec_5 float64 tqwt_energy_dec_6 float64 tqwt_energy_dec_7 float64 tqwt_energy_dec_8 float64 tqwt_energy_dec_9 float64 tqwt_energy_dec_10 float64 tqwt_energy_dec_11 float64 tqwt_energy_dec_12 float64 tqwt_energy_dec_13 float64 tqwt_energy_dec_14 float64 tqwt_energy_dec_15 float64 tqwt_energy_dec_16 float64 tqwt_energy_dec_17 float64 tqwt_energy_dec_18 float64 tqwt_energy_dec_19 float64 tqwt_energy_dec_20 float64 tqwt_energy_dec_21 float64 tqwt_energy_dec_22 float64 tqwt_energy_dec_23 float64 tqwt_energy_dec_24 float64 tqwt_energy_dec_25 float64 tqwt_energy_dec_26 float64 tqwt_energy_dec_27 float64 tqwt_energy_dec_28 float64 tqwt_energy_dec_29 float64 tqwt_energy_dec_30 float64 tqwt_energy_dec_31 float64 tqwt_energy_dec_32 float64 tqwt_energy_dec_33 float64 tqwt_energy_dec_34 float64 tqwt_energy_dec_35 float64 tqwt_energy_dec_36 float64 tqwt_entropy_shannon_dec_1 float64 tqwt_entropy_shannon_dec_2 float64 tqwt_entropy_shannon_dec_3 float64 tqwt_entropy_shannon_dec_4 float64 tqwt_entropy_shannon_dec_5 float64 tqwt_entropy_shannon_dec_6 float64 tqwt_entropy_shannon_dec_7 float64 tqwt_entropy_shannon_dec_8 float64 tqwt_entropy_shannon_dec_9 float64 tqwt_entropy_shannon_dec_10 float64 tqwt_entropy_shannon_dec_11 float64 tqwt_entropy_shannon_dec_12 float64 tqwt_entropy_shannon_dec_13 float64 tqwt_entropy_shannon_dec_14 float64 tqwt_entropy_shannon_dec_15 float64 tqwt_entropy_shannon_dec_16 float64 tqwt_entropy_shannon_dec_17 float64 tqwt_entropy_shannon_dec_18 float64 tqwt_entropy_shannon_dec_19 float64 tqwt_entropy_shannon_dec_20 float64 tqwt_entropy_shannon_dec_21 float64 tqwt_entropy_shannon_dec_22 float64 tqwt_entropy_shannon_dec_23 float64 tqwt_entropy_shannon_dec_24 float64 tqwt_entropy_shannon_dec_25 float64 tqwt_entropy_shannon_dec_26 float64 tqwt_entropy_shannon_dec_27 float64 tqwt_entropy_shannon_dec_28 float64 tqwt_entropy_shannon_dec_29 float64 tqwt_entropy_shannon_dec_30 float64 tqwt_entropy_shannon_dec_31 float64 tqwt_entropy_shannon_dec_32 float64 tqwt_entropy_shannon_dec_33 float64 tqwt_entropy_shannon_dec_34 float64 tqwt_entropy_shannon_dec_35 float64 tqwt_entropy_shannon_dec_36 float64 tqwt_entropy_log_dec_1 float64 tqwt_entropy_log_dec_2 float64 tqwt_entropy_log_dec_3 float64 tqwt_entropy_log_dec_4 float64 tqwt_entropy_log_dec_5 float64 tqwt_entropy_log_dec_6 float64 tqwt_entropy_log_dec_7 float64 tqwt_entropy_log_dec_8 float64 tqwt_entropy_log_dec_9 float64 tqwt_entropy_log_dec_10 float64 tqwt_entropy_log_dec_11 float64 tqwt_entropy_log_dec_12 float64 tqwt_entropy_log_dec_13 float64 tqwt_entropy_log_dec_14 float64 tqwt_entropy_log_dec_15 float64 tqwt_entropy_log_dec_16 float64 tqwt_entropy_log_dec_17 float64 tqwt_entropy_log_dec_18 float64 tqwt_entropy_log_dec_19 float64 tqwt_entropy_log_dec_20 float64 tqwt_entropy_log_dec_21 float64 tqwt_entropy_log_dec_22 float64 tqwt_entropy_log_dec_23 float64 tqwt_entropy_log_dec_24 float64 tqwt_entropy_log_dec_25 float64 tqwt_entropy_log_dec_26 float64 tqwt_entropy_log_dec_27 float64 tqwt_entropy_log_dec_28 float64 tqwt_entropy_log_dec_29 float64 tqwt_entropy_log_dec_30 float64 tqwt_entropy_log_dec_31 float64 tqwt_entropy_log_dec_32 float64 tqwt_entropy_log_dec_33 float64 tqwt_entropy_log_dec_34 float64 tqwt_entropy_log_dec_35 float64 tqwt_entropy_log_dec_36 float64 tqwt_TKEO_mean_dec_1 float64 tqwt_TKEO_mean_dec_2 float64 tqwt_TKEO_mean_dec_3 float64 tqwt_TKEO_mean_dec_4 float64 tqwt_TKEO_mean_dec_5 float64 tqwt_TKEO_mean_dec_6 float64 tqwt_TKEO_mean_dec_7 float64 tqwt_TKEO_mean_dec_8 float64 tqwt_TKEO_mean_dec_9 float64 tqwt_TKEO_mean_dec_10 float64 tqwt_TKEO_mean_dec_11 float64 tqwt_TKEO_mean_dec_12 float64 tqwt_TKEO_mean_dec_13 float64 tqwt_TKEO_mean_dec_14 float64 tqwt_TKEO_mean_dec_15 float64 tqwt_TKEO_mean_dec_16 float64 tqwt_TKEO_mean_dec_17 float64 tqwt_TKEO_mean_dec_18 float64 tqwt_TKEO_mean_dec_19 float64 tqwt_TKEO_mean_dec_20 float64 tqwt_TKEO_mean_dec_21 float64 tqwt_TKEO_mean_dec_22 float64 tqwt_TKEO_mean_dec_23 float64 tqwt_TKEO_mean_dec_24 float64 tqwt_TKEO_mean_dec_25 float64 tqwt_TKEO_mean_dec_26 float64 tqwt_TKEO_mean_dec_27 float64 tqwt_TKEO_mean_dec_28 float64 tqwt_TKEO_mean_dec_29 float64 tqwt_TKEO_mean_dec_30 float64 tqwt_TKEO_mean_dec_31 float64 tqwt_TKEO_mean_dec_32 float64 tqwt_TKEO_mean_dec_33 float64 tqwt_TKEO_mean_dec_34 float64 tqwt_TKEO_mean_dec_35 float64 tqwt_TKEO_mean_dec_36 float64 tqwt_TKEO_std_dec_1 float64 tqwt_TKEO_std_dec_2 float64 tqwt_TKEO_std_dec_3 float64 tqwt_TKEO_std_dec_4 float64 tqwt_TKEO_std_dec_5 float64 tqwt_TKEO_std_dec_6 float64 tqwt_TKEO_std_dec_7 float64 tqwt_TKEO_std_dec_8 float64 tqwt_TKEO_std_dec_9 float64 tqwt_TKEO_std_dec_10 float64 tqwt_TKEO_std_dec_11 float64 tqwt_TKEO_std_dec_12 float64 tqwt_TKEO_std_dec_13 float64 tqwt_TKEO_std_dec_14 float64 tqwt_TKEO_std_dec_15 float64 tqwt_TKEO_std_dec_16 float64 tqwt_TKEO_std_dec_17 float64 tqwt_TKEO_std_dec_18 float64 tqwt_TKEO_std_dec_19 float64 tqwt_TKEO_std_dec_20 float64 tqwt_TKEO_std_dec_21 float64 tqwt_TKEO_std_dec_22 float64 tqwt_TKEO_std_dec_23 float64 tqwt_TKEO_std_dec_24 float64 tqwt_TKEO_std_dec_25 float64 tqwt_TKEO_std_dec_26 float64 tqwt_TKEO_std_dec_27 float64 tqwt_TKEO_std_dec_28 float64 tqwt_TKEO_std_dec_29 float64 tqwt_TKEO_std_dec_30 float64 tqwt_TKEO_std_dec_31 float64 tqwt_TKEO_std_dec_32 float64 tqwt_TKEO_std_dec_33 float64 tqwt_TKEO_std_dec_34 float64 tqwt_TKEO_std_dec_35 float64 tqwt_TKEO_std_dec_36 float64 tqwt_medianValue_dec_1 float64 tqwt_medianValue_dec_2 float64 tqwt_medianValue_dec_3 float64 tqwt_medianValue_dec_4 float64 tqwt_medianValue_dec_5 float64 tqwt_medianValue_dec_6 float64 tqwt_medianValue_dec_7 float64 tqwt_medianValue_dec_8 float64 tqwt_medianValue_dec_9 float64 tqwt_medianValue_dec_10 float64 tqwt_medianValue_dec_11 float64 tqwt_medianValue_dec_12 float64 tqwt_medianValue_dec_13 float64 tqwt_medianValue_dec_14 float64 tqwt_medianValue_dec_15 float64 tqwt_medianValue_dec_16 float64 tqwt_medianValue_dec_17 float64 tqwt_medianValue_dec_18 float64 tqwt_medianValue_dec_19 float64 tqwt_medianValue_dec_20 float64 tqwt_medianValue_dec_21 float64 tqwt_medianValue_dec_22 float64 tqwt_medianValue_dec_23 float64 tqwt_medianValue_dec_24 float64 tqwt_medianValue_dec_25 float64 tqwt_medianValue_dec_26 float64 tqwt_medianValue_dec_27 float64 tqwt_medianValue_dec_28 float64 tqwt_medianValue_dec_29 float64 tqwt_medianValue_dec_30 float64 tqwt_medianValue_dec_31 float64 tqwt_medianValue_dec_32 float64 tqwt_medianValue_dec_33 float64 tqwt_medianValue_dec_34 float64 tqwt_medianValue_dec_35 float64 tqwt_medianValue_dec_36 float64 tqwt_meanValue_dec_1 float64 tqwt_meanValue_dec_2 float64 tqwt_meanValue_dec_3 float64 tqwt_meanValue_dec_4 float64 tqwt_meanValue_dec_5 float64 tqwt_meanValue_dec_6 float64 tqwt_meanValue_dec_7 float64 tqwt_meanValue_dec_8 float64 tqwt_meanValue_dec_9 float64 tqwt_meanValue_dec_10 float64 tqwt_meanValue_dec_11 float64 tqwt_meanValue_dec_12 float64 tqwt_meanValue_dec_13 float64 tqwt_meanValue_dec_14 float64 tqwt_meanValue_dec_15 float64 tqwt_meanValue_dec_16 float64 tqwt_meanValue_dec_17 float64 tqwt_meanValue_dec_18 float64 tqwt_meanValue_dec_19 float64 tqwt_meanValue_dec_20 float64 tqwt_meanValue_dec_21 float64 tqwt_meanValue_dec_22 float64 tqwt_meanValue_dec_23 float64 tqwt_meanValue_dec_24 float64 tqwt_meanValue_dec_25 float64 tqwt_meanValue_dec_26 float64 tqwt_meanValue_dec_27 float64 tqwt_meanValue_dec_28 float64 tqwt_meanValue_dec_29 float64 tqwt_meanValue_dec_30 float64 tqwt_meanValue_dec_31 float64 tqwt_meanValue_dec_32 float64 tqwt_meanValue_dec_33 float64 tqwt_meanValue_dec_34 float64 tqwt_meanValue_dec_35 float64 tqwt_meanValue_dec_36 float64 tqwt_stdValue_dec_1 float64 tqwt_stdValue_dec_2 float64 tqwt_stdValue_dec_3 float64 tqwt_stdValue_dec_4 float64 tqwt_stdValue_dec_5 float64 tqwt_stdValue_dec_6 float64 tqwt_stdValue_dec_7 float64 tqwt_stdValue_dec_8 float64 tqwt_stdValue_dec_9 float64 tqwt_stdValue_dec_10 float64 tqwt_stdValue_dec_11 float64 tqwt_stdValue_dec_12 float64 tqwt_stdValue_dec_13 float64 tqwt_stdValue_dec_14 float64 tqwt_stdValue_dec_15 float64 tqwt_stdValue_dec_16 float64 tqwt_stdValue_dec_17 float64 tqwt_stdValue_dec_18 float64 tqwt_stdValue_dec_19 float64 tqwt_stdValue_dec_20 float64 tqwt_stdValue_dec_21 float64 tqwt_stdValue_dec_22 float64 tqwt_stdValue_dec_23 float64 tqwt_stdValue_dec_24 float64 tqwt_stdValue_dec_25 float64 tqwt_stdValue_dec_26 float64 tqwt_stdValue_dec_27 float64 tqwt_stdValue_dec_28 float64 tqwt_stdValue_dec_29 float64 tqwt_stdValue_dec_30 float64 tqwt_stdValue_dec_31 float64 tqwt_stdValue_dec_32 float64 tqwt_stdValue_dec_33 float64 tqwt_stdValue_dec_34 float64 tqwt_stdValue_dec_35 float64 tqwt_stdValue_dec_36 float64 tqwt_minValue_dec_1 float64 tqwt_minValue_dec_2 float64 tqwt_minValue_dec_3 float64 tqwt_minValue_dec_4 float64 tqwt_minValue_dec_5 float64 tqwt_minValue_dec_6 float64 tqwt_minValue_dec_7 float64 tqwt_minValue_dec_8 float64 tqwt_minValue_dec_9 float64 tqwt_minValue_dec_10 float64 tqwt_minValue_dec_11 float64 tqwt_minValue_dec_12 float64 tqwt_minValue_dec_13 float64 tqwt_minValue_dec_14 float64 tqwt_minValue_dec_15 float64 tqwt_minValue_dec_16 float64 tqwt_minValue_dec_17 float64 tqwt_minValue_dec_18 float64 tqwt_minValue_dec_19 float64 tqwt_minValue_dec_20 float64 tqwt_minValue_dec_21 float64 tqwt_minValue_dec_22 float64 tqwt_minValue_dec_23 float64 tqwt_minValue_dec_24 float64 tqwt_minValue_dec_25 float64 tqwt_minValue_dec_26 float64 tqwt_minValue_dec_27 float64 tqwt_minValue_dec_28 float64 tqwt_minValue_dec_29 float64 tqwt_minValue_dec_30 float64 tqwt_minValue_dec_31 float64 tqwt_minValue_dec_32 float64 tqwt_minValue_dec_33 float64 tqwt_minValue_dec_34 float64 tqwt_minValue_dec_35 float64 tqwt_minValue_dec_36 float64 tqwt_maxValue_dec_1 float64 tqwt_maxValue_dec_2 float64 tqwt_maxValue_dec_3 float64 tqwt_maxValue_dec_4 float64 tqwt_maxValue_dec_5 float64 tqwt_maxValue_dec_6 float64 tqwt_maxValue_dec_7 float64 tqwt_maxValue_dec_8 float64 tqwt_maxValue_dec_9 float64 tqwt_maxValue_dec_10 float64 tqwt_maxValue_dec_11 float64 tqwt_maxValue_dec_12 float64 tqwt_maxValue_dec_13 float64 tqwt_maxValue_dec_14 float64 tqwt_maxValue_dec_15 float64 tqwt_maxValue_dec_16 float64 tqwt_maxValue_dec_17 float64 tqwt_maxValue_dec_18 float64 tqwt_maxValue_dec_19 float64 tqwt_maxValue_dec_20 float64 tqwt_maxValue_dec_21 float64 tqwt_maxValue_dec_22 float64 tqwt_maxValue_dec_23 float64 tqwt_maxValue_dec_24 float64 tqwt_maxValue_dec_25 float64 tqwt_maxValue_dec_26 float64 tqwt_maxValue_dec_27 float64 tqwt_maxValue_dec_28 float64 tqwt_maxValue_dec_29 float64 tqwt_maxValue_dec_30 float64 tqwt_maxValue_dec_31 float64 tqwt_maxValue_dec_32 float64 tqwt_maxValue_dec_33 float64 tqwt_maxValue_dec_34 float64 tqwt_maxValue_dec_35 float64 tqwt_maxValue_dec_36 float64 tqwt_skewnessValue_dec_1 float64 tqwt_skewnessValue_dec_2 float64 tqwt_skewnessValue_dec_3 float64 tqwt_skewnessValue_dec_4 float64 tqwt_skewnessValue_dec_5 float64 tqwt_skewnessValue_dec_6 float64 tqwt_skewnessValue_dec_7 float64 tqwt_skewnessValue_dec_8 float64 tqwt_skewnessValue_dec_9 float64 tqwt_skewnessValue_dec_10 float64 tqwt_skewnessValue_dec_11 float64 tqwt_skewnessValue_dec_12 float64 tqwt_skewnessValue_dec_13 float64 tqwt_skewnessValue_dec_14 float64 tqwt_skewnessValue_dec_15 float64 tqwt_skewnessValue_dec_16 float64 tqwt_skewnessValue_dec_17 float64 tqwt_skewnessValue_dec_18 float64 tqwt_skewnessValue_dec_19 float64 tqwt_skewnessValue_dec_20 float64 tqwt_skewnessValue_dec_21 float64 tqwt_skewnessValue_dec_22 float64 tqwt_skewnessValue_dec_23 float64 tqwt_skewnessValue_dec_24 float64 tqwt_skewnessValue_dec_25 float64 tqwt_skewnessValue_dec_26 float64 tqwt_skewnessValue_dec_27 float64 tqwt_skewnessValue_dec_28 float64 tqwt_skewnessValue_dec_29 float64 tqwt_skewnessValue_dec_30 float64 tqwt_skewnessValue_dec_31 float64 tqwt_skewnessValue_dec_32 float64 tqwt_skewnessValue_dec_33 float64 tqwt_skewnessValue_dec_34 float64 tqwt_skewnessValue_dec_35 float64 tqwt_skewnessValue_dec_36 float64 tqwt_kurtosisValue_dec_1 float64 tqwt_kurtosisValue_dec_2 float64 tqwt_kurtosisValue_dec_3 float64 tqwt_kurtosisValue_dec_4 float64 tqwt_kurtosisValue_dec_5 float64 tqwt_kurtosisValue_dec_6 float64 tqwt_kurtosisValue_dec_7 float64 tqwt_kurtosisValue_dec_8 float64 tqwt_kurtosisValue_dec_9 float64 tqwt_kurtosisValue_dec_10 float64 tqwt_kurtosisValue_dec_11 float64 tqwt_kurtosisValue_dec_12 float64 tqwt_kurtosisValue_dec_13 float64 tqwt_kurtosisValue_dec_14 float64 tqwt_kurtosisValue_dec_15 float64 tqwt_kurtosisValue_dec_16 float64 tqwt_kurtosisValue_dec_17 float64 tqwt_kurtosisValue_dec_18 float64 tqwt_kurtosisValue_dec_19 float64 tqwt_kurtosisValue_dec_20 float64 tqwt_kurtosisValue_dec_21 float64 tqwt_kurtosisValue_dec_22 float64 tqwt_kurtosisValue_dec_23 float64 tqwt_kurtosisValue_dec_24 float64 tqwt_kurtosisValue_dec_25 float64 tqwt_kurtosisValue_dec_26 float64 tqwt_kurtosisValue_dec_27 float64 tqwt_kurtosisValue_dec_28 float64 tqwt_kurtosisValue_dec_29 float64 tqwt_kurtosisValue_dec_30 float64 tqwt_kurtosisValue_dec_31 float64 tqwt_kurtosisValue_dec_32 float64 tqwt_kurtosisValue_dec_33 float64 tqwt_kurtosisValue_dec_34 float64 tqwt_kurtosisValue_dec_35 float64 tqwt_kurtosisValue_dec_36 float64 class int64 dtype: object
# distribution of target column
df['class'].value_counts()
class 1 564 0 192 Name: count, dtype: int64
# Grouping the data bas3ed on the target variable
df.groupby('class').mean()
| gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | det_LT_entropy_shannon_9_coef | det_LT_entropy_shannon_10_coef | det_LT_entropy_log_1_coef | det_LT_entropy_log_2_coef | det_LT_entropy_log_3_coef | det_LT_entropy_log_4_coef | det_LT_entropy_log_5_coef | det_LT_entropy_log_6_coef | det_LT_entropy_log_7_coef | det_LT_entropy_log_8_coef | det_LT_entropy_log_9_coef | det_LT_entropy_log_10_coef | det_LT_TKEO_mean_1_coef | det_LT_TKEO_mean_2_coef | det_LT_TKEO_mean_3_coef | det_LT_TKEO_mean_4_coef | det_LT_TKEO_mean_5_coef | det_LT_TKEO_mean_6_coef | det_LT_TKEO_mean_7_coef | det_LT_TKEO_mean_8_coef | det_LT_TKEO_mean_9_coef | det_LT_TKEO_mean_10_coef | det_LT_TKEO_std_1_coef | det_LT_TKEO_std_2_coef | det_LT_TKEO_std_3_coef | det_LT_TKEO_std_4_coef | det_LT_TKEO_std_5_coef | det_LT_TKEO_std_6_coef | det_LT_TKEO_std_7_coef | det_LT_TKEO_std_8_coef | det_LT_TKEO_std_9_coef | det_LT_TKEO_std_10_coef | app_LT_entropy_shannon_1_coef | app_LT_entropy_shannon_2_coef | app_LT_entropy_shannon_3_coef | app_LT_entropy_shannon_4_coef | app_LT_entropy_shannon_5_coef | app_LT_entropy_shannon_6_coef | app_LT_entropy_shannon_7_coef | app_LT_entropy_shannon_8_coef | app_LT_entropy_shannon_9_coef | app_LT_entropy_shannon_10_coef | app_LT_entropy_log_1_coef | app_LT_entropy_log_2_coef | app_LT_entropy_log_3_coef | app_LT_entropy_log_4_coef | app_LT_entropy_log_5_coef | app_LT_entropy_log_6_coef | app_LT_entropy_log_7_coef | app_LT_entropy_log_8_coef | app_LT_entropy_log_9_coef | app_LT_entropy_log_10_coef | app_LT_TKEO_mean_1_coef | app_LT_TKEO_mean_2_coef | app_LT_TKEO_mean_3_coef | app_LT_TKEO_mean_4_coef | app_LT_TKEO_mean_5_coef | app_LT_TKEO_mean_6_coef | app_LT_TKEO_mean_7_coef | app_LT_TKEO_mean_8_coef | app_LT_TKEO_mean_9_coef | app_LT_TKEO_mean_10_coef | app_LT_TKEO_std_1_coef | app_LT_TKEO_std_2_coef | app_LT_TKEO_std_3_coef | app_LT_TKEO_std_4_coef | app_LT_TKEO_std_5_coef | app_LT_TKEO_std_6_coef | app_LT_TKEO_std_7_coef | app_LT_TKEO_std_8_coef | app_LT_TKEO_std_9_coef | app_LT_TKEO_std_10_coef | tqwt_energy_dec_1 | tqwt_energy_dec_2 | tqwt_energy_dec_3 | tqwt_energy_dec_4 | tqwt_energy_dec_5 | tqwt_energy_dec_6 | tqwt_energy_dec_7 | tqwt_energy_dec_8 | tqwt_energy_dec_9 | tqwt_energy_dec_10 | tqwt_energy_dec_11 | tqwt_energy_dec_12 | tqwt_energy_dec_13 | tqwt_energy_dec_14 | tqwt_energy_dec_15 | tqwt_energy_dec_16 | tqwt_energy_dec_17 | tqwt_energy_dec_18 | tqwt_energy_dec_19 | tqwt_energy_dec_20 | tqwt_energy_dec_21 | tqwt_energy_dec_22 | tqwt_energy_dec_23 | tqwt_energy_dec_24 | tqwt_energy_dec_25 | tqwt_energy_dec_26 | tqwt_energy_dec_27 | tqwt_energy_dec_28 | tqwt_energy_dec_29 | tqwt_energy_dec_30 | tqwt_energy_dec_31 | tqwt_energy_dec_32 | tqwt_energy_dec_33 | tqwt_energy_dec_34 | tqwt_energy_dec_35 | tqwt_energy_dec_36 | tqwt_entropy_shannon_dec_1 | tqwt_entropy_shannon_dec_2 | tqwt_entropy_shannon_dec_3 | tqwt_entropy_shannon_dec_4 | tqwt_entropy_shannon_dec_5 | tqwt_entropy_shannon_dec_6 | tqwt_entropy_shannon_dec_7 | tqwt_entropy_shannon_dec_8 | tqwt_entropy_shannon_dec_9 | tqwt_entropy_shannon_dec_10 | tqwt_entropy_shannon_dec_11 | tqwt_entropy_shannon_dec_12 | tqwt_entropy_shannon_dec_13 | tqwt_entropy_shannon_dec_14 | tqwt_entropy_shannon_dec_15 | tqwt_entropy_shannon_dec_16 | tqwt_entropy_shannon_dec_17 | tqwt_entropy_shannon_dec_18 | tqwt_entropy_shannon_dec_19 | tqwt_entropy_shannon_dec_20 | tqwt_entropy_shannon_dec_21 | tqwt_entropy_shannon_dec_22 | tqwt_entropy_shannon_dec_23 | tqwt_entropy_shannon_dec_24 | tqwt_entropy_shannon_dec_25 | tqwt_entropy_shannon_dec_26 | tqwt_entropy_shannon_dec_27 | tqwt_entropy_shannon_dec_28 | tqwt_entropy_shannon_dec_29 | tqwt_entropy_shannon_dec_30 | tqwt_entropy_shannon_dec_31 | tqwt_entropy_shannon_dec_32 | tqwt_entropy_shannon_dec_33 | tqwt_entropy_shannon_dec_34 | tqwt_entropy_shannon_dec_35 | tqwt_entropy_shannon_dec_36 | tqwt_entropy_log_dec_1 | tqwt_entropy_log_dec_2 | tqwt_entropy_log_dec_3 | tqwt_entropy_log_dec_4 | tqwt_entropy_log_dec_5 | tqwt_entropy_log_dec_6 | tqwt_entropy_log_dec_7 | tqwt_entropy_log_dec_8 | tqwt_entropy_log_dec_9 | tqwt_entropy_log_dec_10 | tqwt_entropy_log_dec_11 | tqwt_entropy_log_dec_12 | tqwt_entropy_log_dec_13 | tqwt_entropy_log_dec_14 | tqwt_entropy_log_dec_15 | tqwt_entropy_log_dec_16 | tqwt_entropy_log_dec_17 | tqwt_entropy_log_dec_18 | tqwt_entropy_log_dec_19 | tqwt_entropy_log_dec_20 | tqwt_entropy_log_dec_21 | tqwt_entropy_log_dec_22 | tqwt_entropy_log_dec_23 | tqwt_entropy_log_dec_24 | tqwt_entropy_log_dec_25 | tqwt_entropy_log_dec_26 | tqwt_entropy_log_dec_27 | tqwt_entropy_log_dec_28 | tqwt_entropy_log_dec_29 | tqwt_entropy_log_dec_30 | tqwt_entropy_log_dec_31 | tqwt_entropy_log_dec_32 | tqwt_entropy_log_dec_33 | tqwt_entropy_log_dec_34 | tqwt_entropy_log_dec_35 | tqwt_entropy_log_dec_36 | tqwt_TKEO_mean_dec_1 | tqwt_TKEO_mean_dec_2 | tqwt_TKEO_mean_dec_3 | tqwt_TKEO_mean_dec_4 | tqwt_TKEO_mean_dec_5 | tqwt_TKEO_mean_dec_6 | tqwt_TKEO_mean_dec_7 | tqwt_TKEO_mean_dec_8 | tqwt_TKEO_mean_dec_9 | tqwt_TKEO_mean_dec_10 | tqwt_TKEO_mean_dec_11 | tqwt_TKEO_mean_dec_12 | tqwt_TKEO_mean_dec_13 | tqwt_TKEO_mean_dec_14 | tqwt_TKEO_mean_dec_15 | tqwt_TKEO_mean_dec_16 | tqwt_TKEO_mean_dec_17 | tqwt_TKEO_mean_dec_18 | tqwt_TKEO_mean_dec_19 | tqwt_TKEO_mean_dec_20 | tqwt_TKEO_mean_dec_21 | tqwt_TKEO_mean_dec_22 | tqwt_TKEO_mean_dec_23 | tqwt_TKEO_mean_dec_24 | tqwt_TKEO_mean_dec_25 | tqwt_TKEO_mean_dec_26 | tqwt_TKEO_mean_dec_27 | tqwt_TKEO_mean_dec_28 | tqwt_TKEO_mean_dec_29 | tqwt_TKEO_mean_dec_30 | tqwt_TKEO_mean_dec_31 | tqwt_TKEO_mean_dec_32 | tqwt_TKEO_mean_dec_33 | tqwt_TKEO_mean_dec_34 | tqwt_TKEO_mean_dec_35 | tqwt_TKEO_mean_dec_36 | tqwt_TKEO_std_dec_1 | tqwt_TKEO_std_dec_2 | tqwt_TKEO_std_dec_3 | tqwt_TKEO_std_dec_4 | tqwt_TKEO_std_dec_5 | tqwt_TKEO_std_dec_6 | tqwt_TKEO_std_dec_7 | tqwt_TKEO_std_dec_8 | tqwt_TKEO_std_dec_9 | tqwt_TKEO_std_dec_10 | tqwt_TKEO_std_dec_11 | tqwt_TKEO_std_dec_12 | tqwt_TKEO_std_dec_13 | tqwt_TKEO_std_dec_14 | tqwt_TKEO_std_dec_15 | tqwt_TKEO_std_dec_16 | tqwt_TKEO_std_dec_17 | tqwt_TKEO_std_dec_18 | tqwt_TKEO_std_dec_19 | tqwt_TKEO_std_dec_20 | tqwt_TKEO_std_dec_21 | tqwt_TKEO_std_dec_22 | tqwt_TKEO_std_dec_23 | tqwt_TKEO_std_dec_24 | tqwt_TKEO_std_dec_25 | tqwt_TKEO_std_dec_26 | tqwt_TKEO_std_dec_27 | tqwt_TKEO_std_dec_28 | tqwt_TKEO_std_dec_29 | tqwt_TKEO_std_dec_30 | tqwt_TKEO_std_dec_31 | tqwt_TKEO_std_dec_32 | tqwt_TKEO_std_dec_33 | tqwt_TKEO_std_dec_34 | tqwt_TKEO_std_dec_35 | tqwt_TKEO_std_dec_36 | tqwt_medianValue_dec_1 | tqwt_medianValue_dec_2 | tqwt_medianValue_dec_3 | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| class | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 0 | 0.359375 | 0.767434 | 0.663866 | 0.430807 | 372.244792 | 371.031250 | 0.005699 | 0.000290 | 0.001405 | 0.000009 | 0.000314 | 0.000615 | 0.000942 | 0.055573 | 0.490938 | 0.029462 | 0.034238 | 0.042146 | 0.088386 | 0.973830 | 0.033170 | 20.874354 | 75.004255 | 78.701976 | 77.072415 | 716.143478 | 1304.275157 | 2529.402526 | 3538.730253 | 199.442561 | 313.287441 | 639.308447 | 577.193220 | 0.934827 | 23.947211 | 2.950426 | 1.196693 | 0.208056 | 0.156717 | 1.666559e+06 | 1.647173 | 3.031031 | 0.002983 | 0.001771 | 6.998978 | 74.739413 | 269.724627 | 1.235667 | 1.297791 | 24.219526 | 2.014190 | 8.400854 | 0.193858 | 14.345135 | 0.172767 | 10.017617 | 15.675406 | 6.434823 | 0.126563 | -0.431130 | -1.642378 | -1.130843 | -1.028802 | -0.083260 | 0.287317 | -0.040572 | -0.642224 | -0.378776 | -0.140765 | -0.000113 | -0.001524 | 0.000188 | 0.001931 | 0.000582 | -0.000008 | 0.000061 | 0.000678 | 0.000041 | -0.000296 | 0.000454 | 0.000083 | -0.000016 | 0.000143 | -0.000013 | -0.000070 | -0.000026 | 0.000003 | 0.000009 | 0.000002 | 0.000004 | 0.000022 | 0.000005 | 0.000014 | 4.393750e-07 | -2.682573e-05 | 0.000028 | 0.000006 | 0.192530 | 0.741760 | 0.506442 | 0.458851 | 0.382050 | 0.334182 | 0.317361 | 0.298468 | 0.273283 | 0.250241 | 0.251775 | 0.244647 | 0.231610 | 0.226854 | 0.024252 | 0.091895 | 0.063638 | 0.053170 | 0.045795 | 0.041664 | 0.038207 | 0.036559 | 0.034107 | 0.031975 | 0.030797 | 0.030704 | 0.029331 | 0.028525 | 0.008829 | 0.039959 | 0.031190 | 0.024606 | 0.021441 | 0.019594 | 0.018264 | 0.017102 | 0.015999 | 0.015114 | 0.014569 | 0.014569 | 0.013950 | 0.013607 | 99.944941 | 0.002180 | 0.002983 | 0.003450 | 0.003828 | 0.00311 | 0.004095 | 0.002185 | 0.012444 | 0.002677 | 0.018104 | -95783.238621 | -125239.533312 | -142603.090915 | -193110.843359 | -108929.871563 | -175420.932722 | -115769.044047 | -985871.809459 | -112007.184760 | -1.227538e+06 | -619.905886 | -175.771895 | -33.875315 | 25.002493 | 14.361720 | 5.737535 | 0.297499 | 14.399832 | 11.864741 | 31.531938 | 91.998285 | 189.317371 | 419.700157 | 734.253155 | 514.776784 | 921.114267 | 777.575505 | 6943.941205 | 805.468709 | 8595.117513 | 309.595403 | 491.498929 | 717.098288 | 1273.847002 | 1058.425222 | 1997.838160 | 1675.014123 | 14376.678348 | 1534.043223 | 17337.020011 | -1.078743e+08 | -1.291883e+08 | -1.701846e+08 | -2.456191e+08 | -3.977719e+08 | -7.100686e+08 | -1.398691e+09 | -2.740335e+09 | -5.712326e+09 | -1.188644e+10 | 1202.101077 | 721.583615 | 476.249140 | 344.359862 | 279.046938 | 249.209994 | 245.626149 | 240.908192 | 251.306234 | 261.705867 | 1900.155803 | 6271.791433 | 19360.915907 | 54815.686316 | 141236.902273 | 330890.234858 | 700906.148225 | 1.488124e+06 | 2.975687e+06 | 5.944113e+06 | 13492.104926 | 34079.842814 | 84068.298659 | 194612.597104 | 437688.461996 | 937461.182001 | 1.932715e+06 | 3.939659e+06 | 7.877758e+06 | 1.570056e+07 | 99.997396 | 0.000059 | 0.000082 | 0.000107 | 0.000181 | 0.000133 | 0.000230 | 0.000130 | 0.000736 | 0.000144 | 0.000808 | 0.220096 | 0.182620 | 0.096105 | -0.221885 | 0.004132 | -0.999405 | -0.216650 | -7.863642 | -0.210771 | -7.542414 | -1745.911008 | -812.372128 | -430.802923 | -246.973462 | -194.760814 | -172.403320 | -167.128317 | -142.874783 | -145.094792 | -125.503620 | 0.002203 | 0.004679 | 0.011670 | 0.024627 | 0.025170 | 0.050754 | 0.035123 | 0.266365 | 0.035695 | 0.266707 | 0.007973 | 0.013782 | 0.022019 | 0.048994 | 0.045857 | 0.104362 | 0.074094 | 0.533571 | 0.075996 | 0.517221 | -23878.955495 | -31651.090126 | -45277.565622 | -70009.614040 | -120097.452141 | -225251.642619 | -463263.136809 | -943180.149215 | -2.033720e+06 | -4.362132e+06 | 430.212602 | 285.244423 | 204.070212 | 157.790556 | 135.340225 | 126.919798 | 130.527395 | 132.887321 | 143.284569 | 153.681899 | 1.041304 | 3.672456 | 11.751622 | 34.221569 | 88.806119 | 208.669420 | 443.311125 | 944.473730 | 1889.01033 | 3777.931358 | 7.612046 | 20.084318 | 50.481764 | 120.778858 | 273.338836 | 589.015508 | 1211.296765 | 2493.085094 | 4986.142727 | 9970.686008 | 0.000274 | 0.000293 | 0.000378 | 0.000848 | 0.001896 | 0.001828 | 0.001604 | 0.002506 | 0.003287 | 0.004209 | 0.005037 | 0.012670 | 0.034755 | 0.058512 | 0.080927 | 0.115921 | 0.139015 | 0.135159 | 0.084453 | 0.041123 | 0.026079 | 0.028590 | 0.047676 | 0.061678 | 0.048764 | 0.029178 | 0.013016 | 0.006129 | 0.001553 | 0.000917 | 0.001454 | 0.002405 | 0.002845 | 0.001228 | 0.000708 | 0.003083 | 5.963432 | 6.82783 | 8.671841 | 15.203192 | 27.104169 | 29.900692 | 37.431422 | 56.092855 | 67.311149 | 72.742236 | 87.630010 | 217.972085 | 473.662588 | 661.525415 | 768.872530 | 895.416190 | 944.286974 | 744.654302 | 517.967965 | 357.231260 | 252.530423 | 230.076185 | 224.772593 | 172.938003 | 74.930848 | 45.043010 | 41.622640 | 6.256674 | 6.829902 | 6.026718 | 5.693638 | 0.105727 | 0.750170 | 4.093898 | 3.186581 | 7.899217 | -1.817672e+06 | -1.478956e+06 | -1.179153e+06 | -9.399940e+05 | -744651.028331 | -589530.911089 | -460411.291138 | -357623.397556 | -281382.754664 | -228721.511591 | -186075.897768 | -131594.268603 | -88205.411076 | -63356.902482 | -47116.629838 | -33795.900880 | -24275.272014 | -19723.127137 | -18648.354092 | -16697.095441 | -15087.668255 | -11990.507145 | -8911.049486 | -7087.362308 | -7529.466140 | -8923.841222 | -9247.091477 | -8641.012771 | -7246.527622 | -5897.899485 | -4712.971256 | -3808.039720 | -3198.799156 | -2762.090804 | -2325.04127 | -2281.58432 | 0.000009 | 0.000013 | 0.000019 | 0.000040 | 0.000142 | 0.000188 | 0.000214 | 0.000465 | 0.000655 | 0.000929 | 0.001187 | 0.004061 | 0.017724 | 0.037689 | 0.060138 | 0.109487 | 0.160207 | 0.198825 | 0.131551 | 0.070417 | 0.055193 | 0.070425 | 0.134795 | 0.258887 | 0.298469 | 0.210704 | 0.063123 | 0.045556 | 0.014263 | 0.005747 | 0.012637 | 0.029303 | 0.033666 | 0.011044 | 0.009024 | 0.026475 | 0.000042 | 0.000040 | 0.000052 | 0.000104 | 0.000378 | 0.000510 | 0.000379 | 0.000743 | 0.001030 | 0.001321 | 0.001838 | 0.004208 | 0.014933 | 0.034122 | 0.05398 | 0.078923 | 0.105817 | 0.113511 | 0.086804 | 0.042473 | 0.031065 | 0.032234 | 0.061719 | 0.108104 | 0.106436 | 0.080990 | 0.030058 | 0.018550 | 0.008696 | 0.007212 | 0.013996 | 0.028059 | 0.026141 | 0.013002 | 0.011128 | 0.042015 | 2.419832e-07 | -2.074159e-07 | 1.531875e-08 | -1.539628e-07 | -1.620814e-06 | -4.105193e-07 | -4.554531e-07 | 5.864797e-07 | 8.663823e-06 | -0.000016 | -3.744719e-07 | -1.214208e-05 | -0.000011 | -0.000031 | -0.000160 | 0.000013 | 0.000095 | -0.000077 | -0.000198 | 0.000130 | -0.000017 | -0.000332 | 0.000068 | -2.727604e-07 | -0.000276 | -0.000260 | -0.000070 | 0.000089 | -0.000910 | -0.000018 | 0.000295 | -0.000185 | 0.000176 | -0.000112 | 0.000240 | -0.002957 | -2.639661e-22 | 6.709292e-22 | -4.336260e-22 | -1.915995e-22 | 2.318624e-21 | 2.395104e-22 | -7.230245e-21 | 1.744984e-21 | -9.485677e-22 | 2.831130e-21 | 1.678746e-20 | -3.945859e-21 | -6.602969e-21 | 1.117135e-20 | -9.778490e-21 | -2.742823e-20 | -3.224281e-20 | -1.783073e-20 | -1.874282e-19 | 1.411719e-20 | -1.794885e-20 | 1.125401e-19 | -1.668371e-19 | -4.950516e-20 | 4.428859e-20 | -8.036875e-21 | -4.108922e-20 | 3.193063e-20 | -3.868684e-20 | -5.047031e-21 | -1.033281e-21 | -2.060557e-20 | -2.239167e-19 | -1.528625e-19 | -1.580755e-20 | -0.003052 | 0.001686 | 0.002020 | 0.002701 | 0.003933 | 0.005809 | 0.007104 | 0.009210 | 0.013151 | 0.016723 | 0.019020 | 0.022906 | 0.044467 | 0.087542 | 0.130999 | 0.171212 | 0.228756 | 0.284892 | 0.294612 | 0.238374 | 0.184984 | 0.160444 | 0.178782 | 0.237948 | 0.303294 | 0.286092 | 0.199543 | 0.104502 | 0.057752 | 0.037038 | 0.032940 | 0.041945 | 0.049907 | 0.050901 | 0.042099 | 0.040016 | 0.080545 | -0.050845 | -0.030254 | -0.033826 | -0.04145 | -0.055153 | -0.061259 | -0.064021 | -0.079573 | -0.093355 | -0.104414 | -0.121503 | -0.177452 | -0.292481 | -0.418973 | -0.507302 | -0.611208 | -0.700635 | -0.706920 | -0.582855 | -0.439670 | -0.380312 | -0.411450 | -0.526509 | -0.636736 | -0.600397 | -0.461763 | -0.295086 | -0.198719 | -0.145811 | -0.141949 | -0.145668 | -0.155861 | -0.153333 | -0.136663 | -0.130678 | -0.291915 | 0.052137 | 0.030463 | 0.033550 | 0.041251 | 0.055884 | 0.061382 | 0.064469 | 0.079282 | 0.094101 | 0.103903 | 0.12030 | 0.176896 | 0.289726 | 0.418847 | 0.509165 | 0.610445 | 0.701602 | 0.708289 | 0.579840 | 0.439514 | 0.383912 | 0.411578 | 0.528595 | 0.635466 | 0.599517 | 0.464468 | 0.292118 | 0.191015 | 0.141845 | 0.141573 | 0.142828 | 0.153597 | 0.152389 | 0.136651 | 0.129888 | 0.296053 | 0.572014 | 0.089970 | 0.014573 | 0.059994 | 0.002015 | 0.080778 | 0.019721 | -0.000191 | 0.010772 | 0.012115 | 0.013111 | 0.000918 | -0.000691 | -0.000113 | 0.001115 | -0.000413 | 0.000747 | 0.000181 | -0.000844 | 0.000152 | -0.001197 | 0.000429 | 0.000621 | -0.021001 | -0.035614 | 0.054781 | -0.158534 | -0.360361 | -0.265300 | 0.024976 | -0.192015 | -0.159871 | -0.152584 | -0.080137 | -0.082539 | -0.112316 | 828.938718 | 198.524514 | 142.676379 | 123.488763 | 84.602292 | 44.802764 | 12.963558 | 7.390001 | 6.648563 | 7.858937 | 8.822049 | 5.447146 | 3.091249 | 2.988729 | 2.835976 | 2.546435 | 2.273758 | 2.169000 | 2.241918 | 2.086915 | 2.105440 | 2.016404 | 2.153136 | 3.335094 | 16.862654 | 41.762340 | 47.053772 | 45.754404 | 32.006881 | 21.592319 | 14.797452 | 10.726868 | 9.021939 | 9.619535 | 9.326543 | 15.074830 |
| 1 | 0.569149 | 0.739084 | 0.712856 | 0.508888 | 307.539007 | 306.218085 | 0.006585 | 0.000414 | 0.002637 | 0.000019 | 0.000704 | 0.001344 | 0.002112 | 0.071524 | 0.645733 | 0.036048 | 0.043536 | 0.059867 | 0.108143 | 0.957314 | 0.057246 | 18.173770 | 69.407113 | 75.261633 | 72.950061 | 623.695724 | 1209.878277 | 2573.667030 | 3550.162730 | 218.102190 | 291.688677 | 501.931750 | 482.574774 | 0.894072 | 35.137916 | 4.966981 | 1.057034 | 0.217415 | 0.140786 | 1.533936e+06 | 1.636571 | 3.018269 | 0.001383 | 0.001407 | 3.006800 | 112.336218 | 238.139230 | 1.228746 | 1.255446 | 71.982728 | 2.192982 | 13.769045 | 0.216113 | 11.419476 | 0.182677 | 9.769639 | 14.687414 | 6.247212 | 1.650993 | 0.407385 | -1.352406 | -0.693391 | -1.237394 | 0.171253 | 0.445343 | 0.145359 | -0.698992 | -0.299236 | -0.098159 | -0.001765 | -0.004728 | -0.000865 | 0.000699 | 0.000362 | 0.000237 | 0.000373 | 0.000874 | 0.000049 | -0.000390 | 0.000359 | 0.000148 | 0.000040 | 0.000178 | -0.000037 | -0.000107 | 0.000018 | 0.000009 | -0.000003 | 0.000048 | 0.000028 | 0.000029 | 0.000003 | 0.000013 | 2.220286e-05 | -8.742599e-07 | 0.000001 | -0.000010 | 0.316574 | 0.950755 | 0.595778 | 0.468219 | 0.427808 | 0.392360 | 0.364020 | 0.361522 | 0.322484 | 0.298499 | 0.284657 | 0.281490 | 0.266392 | 0.252331 | 0.042033 | 0.114626 | 0.075964 | 0.061871 | 0.057433 | 0.053201 | 0.048295 | 0.047520 | 0.044081 | 0.040950 | 0.039378 | 0.038882 | 0.036320 | 0.034599 | 0.015589 | 0.048898 | 0.036785 | 0.028566 | 0.027231 | 0.025366 | 0.023061 | 0.022531 | 0.020970 | 0.019401 | 0.018855 | 0.018610 | 0.017341 | 0.016604 | 99.923805 | 0.002911 | 0.002597 | 0.002177 | 0.004140 | 0.00399 | 0.003950 | 0.003593 | 0.013617 | 0.003818 | 0.035400 | -64783.583830 | -60485.376573 | -63858.064540 | -124025.664394 | -137820.863959 | -164416.981001 | -163840.324091 | -601759.768957 | -114657.101788 | -1.448117e+06 | -576.866319 | -151.959437 | -16.517258 | 32.631486 | 20.343427 | 9.971152 | 2.570593 | 15.720427 | 12.342088 | 32.952706 | 60.670676 | 105.311936 | 189.939674 | 507.203613 | 606.921030 | 816.544557 | 998.823447 | 4214.419831 | 792.403746 | 10053.936006 | 248.922038 | 341.246192 | 461.532550 | 1064.640372 | 1444.129386 | 2043.988754 | 2165.629030 | 9077.843000 | 1690.515055 | 19567.214150 | -7.179743e+07 | -8.624898e+07 | -1.139589e+08 | -1.649490e+08 | -2.678152e+08 | -4.791014e+08 | -9.451580e+08 | -1.854152e+09 | -3.868877e+09 | -8.057101e+09 | 1168.298422 | 702.646148 | 464.408201 | 336.105644 | 272.657431 | 243.700112 | 240.498098 | 235.985544 | 246.383754 | 256.788754 | 1303.284898 | 4364.048491 | 13475.483643 | 38172.969021 | 97896.846690 | 228704.752727 | 484154.927762 | 1.028759e+06 | 2.057778e+06 | 4.110208e+06 | 9302.268311 | 23613.652402 | 58524.181039 | 136324.304693 | 304350.856406 | 652122.054770 | 1.331692e+06 | 2.722279e+06 | 5.459811e+06 | 1.087368e+07 | 99.996167 | 0.000070 | 0.000077 | 0.000096 | 0.000183 | 0.000188 | 0.000208 | 0.000197 | 0.000762 | 0.000185 | 0.001872 | 0.312796 | 0.389211 | 0.363994 | 0.184993 | -0.124842 | -0.474767 | -0.765372 | -7.667222 | -0.428612 | -23.213194 | -1670.409258 | -769.857928 | -401.445738 | -230.795075 | -182.440111 | -162.341135 | -159.573315 | -136.447571 | -139.952219 | -119.056437 | 0.002205 | 0.004325 | 0.009614 | 0.026832 | 0.031224 | 0.042994 | 0.053349 | 0.249409 | 0.047532 | 0.619200 | 0.008771 | 0.013594 | 0.023291 | 0.054509 | 0.075183 | 0.107771 | 0.112738 | 0.541345 | 0.100900 | 1.201879 | -22042.916848 | -29296.427499 | -41993.691918 | -65018.326025 | -111680.437986 | -209641.898966 | -431594.844699 | -878917.982609 | -1.896163e+06 | -4.068904e+06 | 424.068729 | 281.849332 | 201.980849 | 156.309788 | 134.190625 | 125.907258 | 129.609466 | 131.963204 | 142.360463 | 152.757986 | 0.978799 | 3.444968 | 11.009693 | 32.063813 | 83.193387 | 195.539132 | 415.295438 | 885.252628 | 1770.60134 | 3541.740838 | 7.142198 | 18.836172 | 47.337028 | 113.319099 | 256.239847 | 552.384809 | 1134.856201 | 2335.772242 | 4677.419495 | 9348.838951 | 0.000595 | 0.000608 | 0.000888 | 0.001042 | 0.000787 | 0.000528 | 0.000604 | 0.001048 | 0.001564 | 0.001504 | 0.001185 | 0.003676 | 0.014098 | 0.030890 | 0.044586 | 0.070177 | 0.114260 | 0.124676 | 0.084510 | 0.051037 | 0.041765 | 0.037864 | 0.047741 | 0.077973 | 0.089762 | 0.072170 | 0.052412 | 0.022806 | 0.005901 | 0.000927 | 0.000606 | 0.000488 | 0.000208 | 0.000122 | 0.000099 | 0.000894 | 5.288521 | 5.92212 | 8.812807 | 11.772368 | 13.265732 | 12.006151 | 15.034809 | 24.749419 | 33.310329 | 31.485232 | 25.193934 | 61.348127 | 185.890109 | 339.007224 | 412.885566 | 503.120681 | 593.749378 | 542.449546 | 397.880183 | 278.370836 | 230.152585 | 204.866714 | 186.282497 | 149.220603 | 95.601041 | 41.836421 | -78.059706 | -10.236454 | -17.684328 | 2.932332 | 3.864363 | 3.209472 | 1.736031 | 1.173457 | 1.003040 | 4.201074 | -1.866804e+06 | -1.565418e+06 | -1.269166e+06 | -1.030815e+06 | -841066.684372 | -673062.898059 | -525179.610227 | -408759.271892 | -321620.399011 | -262829.606237 | -221416.902353 | -167697.116705 | -113510.893794 | -80763.947464 | -61815.572822 | -46585.156815 | -33450.155508 | -25914.050145 | -22493.693868 | -19864.341277 | -16572.244873 | -13383.463224 | -10700.273406 | -7874.298194 | -6174.943256 | -5989.266254 | -6752.093579 | -7136.650239 | -6836.946176 | -5969.665324 | -4912.471410 | -4117.486148 | -3655.577602 | -3286.302084 | -2797.36081 | -2646.57191 | 0.000007 | 0.000010 | 0.000021 | 0.000038 | 0.000055 | 0.000051 | 0.000073 | 0.000171 | 0.000311 | 0.000374 | 0.000293 | 0.000895 | 0.005739 | 0.016964 | 0.027540 | 0.050292 | 0.111162 | 0.147833 | 0.105814 | 0.062856 | 0.067591 | 0.064959 | 0.076736 | 0.188623 | 0.328924 | 0.315136 | 0.294471 | 0.115412 | 0.056081 | 0.008223 | 0.003884 | 0.003721 | 0.002138 | 0.001969 | 0.002151 | 0.013474 | 0.000027 | 0.000027 | 0.000055 | 0.000097 | 0.000128 | 0.000109 | 0.000135 | 0.000282 | 0.000501 | 0.000536 | 0.000446 | 0.001000 | 0.004827 | 0.014859 | 0.02713 | 0.042847 | 0.078173 | 0.100662 | 0.074210 | 0.049468 | 0.038348 | 0.035654 | 0.045209 | 0.083664 | 0.130089 | 0.121909 | 0.103868 | 0.055665 | 0.023801 | 0.008036 | 0.005727 | 0.005252 | 0.003481 | 0.003671 | 0.004309 | 0.027560 | 2.762791e-08 | 2.882097e-07 | -8.959849e-08 | -2.319584e-07 | 4.560463e-07 | 9.734420e-07 | 1.145351e-06 | -1.131665e-06 | -1.845798e-07 | 0.000004 | 4.201160e-06 | 6.675815e-07 | 0.000009 | 0.000025 | -0.000014 | 0.000026 | 0.000112 | -0.000042 | -0.000157 | 0.000056 | -0.000027 | -0.000034 | 0.000053 | -1.702612e-04 | 0.000564 | 0.000032 | 0.000313 | -0.000731 | -0.000037 | 0.000055 | -0.000024 | 0.000060 | -0.000040 | 0.000047 | 0.000006 | -0.005900 | -4.755592e-22 | -2.482656e-22 | 2.261140e-23 | 2.738042e-22 | -3.139351e-22 | 3.999283e-22 | 3.141926e-22 | -4.563599e-22 | 8.155018e-22 | -9.340638e-22 | -4.308902e-21 | 4.240454e-21 | -1.372451e-21 | 5.776596e-24 | 7.493543e-21 | 3.706111e-20 | 1.412550e-20 | -9.356674e-20 | -1.606757e-20 | 9.256028e-22 | -4.455271e-21 | -3.737759e-20 | 4.354569e-20 | -9.097530e-21 | -7.420018e-20 | -6.919415e-20 | 1.162812e-19 | -9.048011e-20 | 1.502622e-20 | 1.041991e-20 | -1.534055e-20 | -1.551737e-20 | 5.075798e-21 | -1.219547e-20 | -5.108326e-21 | -0.005922 | 0.001563 | 0.001747 | 0.002366 | 0.003063 | 0.003624 | 0.003932 | 0.005084 | 0.007557 | 0.010166 | 0.010869 | 0.010276 | 0.018086 | 0.043510 | 0.076789 | 0.103015 | 0.141009 | 0.203405 | 0.231001 | 0.196572 | 0.159672 | 0.156240 | 0.160641 | 0.181745 | 0.256146 | 0.323407 | 0.300377 | 0.210711 | 0.115842 | 0.051994 | 0.030258 | 0.029289 | 0.028873 | 0.021907 | 0.018609 | 0.018994 | 0.050169 | -0.038152 | -0.023197 | -0.027836 | -0.03279 | -0.037831 | -0.038206 | -0.041457 | -0.052440 | -0.062778 | -0.064663 | -0.065686 | -0.090747 | -0.160475 | -0.263028 | -0.345407 | -0.435429 | -0.565637 | -0.625516 | -0.526961 | -0.425743 | -0.387672 | -0.390175 | -0.439328 | -0.563728 | -0.671942 | -0.638672 | -0.470968 | -0.300366 | -0.181358 | -0.136421 | -0.116037 | -0.107309 | -0.088066 | -0.078599 | -0.078058 | -0.207870 | 0.038237 | 0.023402 | 0.028005 | 0.032707 | 0.037879 | 0.038043 | 0.041527 | 0.052494 | 0.063017 | 0.064687 | 0.06457 | 0.090998 | 0.160348 | 0.262332 | 0.345955 | 0.432725 | 0.565178 | 0.626491 | 0.527647 | 0.427082 | 0.388463 | 0.391117 | 0.439359 | 0.565603 | 0.671818 | 0.636523 | 0.468692 | 0.299986 | 0.181163 | 0.135807 | 0.115146 | 0.107322 | 0.087592 | 0.079824 | 0.080522 | 0.201553 | -0.003037 | 0.010384 | 0.006236 | -0.004648 | 0.001833 | -0.007251 | -0.008814 | 0.001035 | -0.002255 | -0.007250 | -0.007941 | -0.000165 | 0.000527 | 0.000521 | -0.001162 | 0.000391 | -0.000744 | 0.000011 | 0.000177 | -0.000273 | -0.000528 | 0.000110 | -0.000050 | 0.000518 | -0.007628 | -0.002931 | 0.062511 | 0.055259 | 0.024618 | -0.007985 | -0.041323 | -0.014186 | -0.021422 | -0.028802 | 0.007167 | 0.031209 | 1137.515256 | 438.236732 | 392.332620 | 384.209137 | 380.077272 | 215.787421 | 49.751676 | 17.677113 | 13.965615 | 13.085266 | 12.909652 | 10.918674 | 3.963016 | 3.449278 | 3.418141 | 3.148336 | 2.859417 | 2.757754 | 2.659513 | 2.549478 | 2.366241 | 2.239862 | 2.184510 | 2.343388 | 3.351184 | 6.917445 | 12.165554 | 19.593113 | 19.719812 | 17.565102 | 13.556976 | 12.726897 | 13.516916 | 16.562531 | 16.598373 | 37.066227 |
# Check label Imbalance
import matplotlib.pyplot as plt
import seaborn as sns
temp = df['class'].value_counts()
temp_df = pd.DataFrame({'class': temp.index, 'values': temp.values})
print(sns.barplot(x='class', y = 'values', data = temp_df))
Axes(0.125,0.11;0.775x0.77)
# Find the distribution of data
def distplots(col):
sns.distplot(df[col])
plt.show()
for i in list(df.columns)[1:]:
distplots(i)
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
C:\Users\krath\AppData\Local\Temp\ipykernel_31192\3707901815.py:3: UserWarning: `distplot` is a deprecated function and will be removed in seaborn v0.14.0. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). For a guide to updating your code to use the new functions, please see https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751 sns.distplot(df[col])
# Calculate the correlation matrix
corr = df.corr()
# Finding correlations
plt.figure(figsize=(12, 8))
# Create the heatmap
sns.heatmap(corr)
# Add title
plt.title('Correlation Heatmap')
plt.show()
# Let's make some final changes to the data
# Seperate independent and dependent variables and drop the Id Column
X = df.drop(columns=['class'], axis=1)
y = df['class']
Right now we need to do label balancing, we had checked previously that we have label imbalance, its time to fix that. Therefore we will use imblearn for labal balancing it has methods for undersampling and oversampling 'k- means clutering method is used here and its creates a set of points around lesser points to form more points - Creating more samples Randomly - undersampler will reduce the number of ones - let's go with oversampling because we will not lose important points from our dataset
# Lets detect the label balance
from imblearn.over_sampling import RandomOverSampler
from imblearn.under_sampling import RandomUnderSampler
from collections import Counter
print(Counter(y))
Counter({1: 564, 0: 192})
# Lets balance the labels
ros = RandomOverSampler()
X_ros, y_ros = ros.fit_resample(X,y)
print(Counter(y_ros))
Counter({1: 564, 0: 564})
Scaling is important to avoid overfit with the model.In our model I will be using MinMaxScaler, - It transforms the data and fits it between a certain provided interval (0-1, -1,1, -2,2) , here i will be providing (-1,1).
Scaler = MinMaxScaler((-1,1))
X = scaler.fit_transform(X_ros)
y = y_ros
As we can see here that we have 754 columns in this case it's little tedious for any algorithm to fit that amount of data it will consume a lot of computational power, and it may also affect the performance of the algorithm as a whole to prevent that we will use feature engeneering technique (PCA)
The most important use of PCA is to represent a multivariate data table as smaller set of variables(summary indices)
# Applying feature engineering
# Applying PCA
from sklearn.decomposition import PCA
pca = PCA(.95)
X_PCA = pca.fit_transform(X)
print(X.shape)
print(X_PCA.shape)
(1128, 753) (1128, 156)
X_train, X_test, y_train, y_test = train_test_split(X_PCA, y, test_size=0.2, random_state= 7)
# We will be using rule based algorithms - svc - logistic regression - random forest decision tree ...
# Appying algorithms
from sklearn.metrics import confusion_matrix, accuracy_score, f1_score, precision_score, recall_score
list_met = [] # contain the name of models
list_accuracy = []
# Applying all algorithms
##############################
# Applying logistic Regression
##############################
from sklearn.linear_model import LogisticRegression
classifier = LogisticRegression(C=0.4, max_iter=1000, solver='liblinear') # Hyperparameters
lr = classifier.fit(X_train, y_train)
# Prediction
y_pred = classifier.predict(X_test)
# Accuracy
accuracy_lr = accuracy_score(y_test,y_pred)
#############
# Apply SVM #
#############
from sklearn.svm import SVC
model_svm = SVC(cache_size = 100)
svm = model_svm.fit(X_train, y_train)
# Prediction
y_pred1 = model_svm.predict(X_test)
# Accuracy
accuracy_svc = accuracy_score(y_test, y_pred1)
########################
# Apply decision Tree ##
########################
from sklearn.tree import DecisionTreeClassifier
classifier2 = DecisionTreeClassifier(random_state= 14)
dt= classifier2.fit(X_train,y_train)
#Prediction
y_pred2 = classifier2.predict(X_test)
# Accuracy
accuracy_DF = accuracy_score(y_test,y_pred2)
########################
# KNN #
########################
from sklearn.neighbors import KNeighborsClassifier
model_knn = KNeighborsClassifier(n_neighbors=3)
knn = model_knn.fit(X_train, y_train)
# Predicting Test set N= 3
pred_knn = model_knn.predict(X_test)
# Accuracy
accuracy_knn = accuracy_score(y_test,pred_knn)
# Combining all the above voting classifier
from sklearn.ensemble import VotingClassifier
evc = VotingClassifier(estimators=[('lr',lr), ('svm', svm), ('DT', dt), ('KNN', knn)], voting = 'hard', flatten_transform = True)
model_evc = evc.fit(X_train,y_train)
# Predicting Test set
pred_evc = evc.predict(X_test)
# Accuracy
accuracy_evc = accuracy_score(y_test,y_pred1)
list1 = ['Logistic Regression','SVM', 'Decision Tree', 'KNN']
list2 = [accuracy_lr, accuracy_svc, accuracy_DF, accuracy_knn]
list3 = [classifier, model_svm,classifier2, model_knn]
df_Accuracy = pd.DataFrame({'Method Used': list1, 'Accuracy': list2})
print(df_Accuracy)
chart = sns.barplot(x= 'Method Used', y = 'Accuracy', data = df_Accuracy)
chart.set_xticklabels(chart.get_xticklabels(), rotation = 90)
print(chart)
Method Used Accuracy 0 Logistic Regression 0.902655 1 SVM 0.938053 2 Decision Tree 0.876106 3 KNN 0.929204 Axes(0.125,0.11;0.775x0.77)
The best in terms of accuracy score SVM and KNN. However, it's not enough we need to find TP and FP rate we have to create the confusion matrix that's required because in health care project False positive and false negative value going to impact person's health
from sklearn.metrics import roc_curve, auc, confusion_matrix, classification_report, accuracy_score
for i in list3:
print("******************************************", i, "*****************************************")
print(classification_report(y_test, i.predict(X_test)))
print('Confusion Matrix')
print(confusion_matrix(y_test, i.predict(X_test)))
print()
****************************************** LogisticRegression(C=0.4, max_iter=1000, solver='liblinear') *****************************************
precision recall f1-score support
0 0.86 0.97 0.91 119
1 0.96 0.83 0.89 107
accuracy 0.90 226
macro avg 0.91 0.90 0.90 226
weighted avg 0.91 0.90 0.90 226
Confusion Matrix
[[115 4]
[ 18 89]]
****************************************** SVC(cache_size=100) *****************************************
precision recall f1-score support
0 0.93 0.95 0.94 119
1 0.94 0.93 0.93 107
accuracy 0.94 226
macro avg 0.94 0.94 0.94 226
weighted avg 0.94 0.94 0.94 226
Confusion Matrix
[[113 6]
[ 8 99]]
****************************************** DecisionTreeClassifier(random_state=14) *****************************************
precision recall f1-score support
0 0.85 0.93 0.89 119
1 0.92 0.81 0.86 107
accuracy 0.88 226
macro avg 0.88 0.87 0.87 226
weighted avg 0.88 0.88 0.88 226
Confusion Matrix
[[111 8]
[ 20 87]]
****************************************** KNeighborsClassifier(n_neighbors=3) *****************************************
precision recall f1-score support
0 0.91 0.97 0.93 119
1 0.96 0.89 0.92 107
accuracy 0.93 226
macro avg 0.93 0.93 0.93 226
weighted avg 0.93 0.93 0.93 226
Confusion Matrix
[[115 4]
[ 12 95]]
It is evident that the Support Vector Machine (SVM) model performs better in terms of recall and is more suitable for the medical field application. With a recall of 0.93, the SVC model has a higher ability to correctly identify true positive cases out of all actual positive cases, which is crucial for minimizing false negatives and improving the accuracy of medical diagnoses. Therefore, the Support Vector Machine (SVM) model is the recommended choice for the medical field application due to its higher recall and better performance in detecting Parkinson's disease.
data= X_test[200]
prediction = model_svm.predict(data.reshape(1,-1))
print(prediction)
if (prediction[0] == 0):
print("The Person does not have Parkinson's Disease")
else:
print("The Person has Parkinson")
[1] The Person has Parkinson